SlideShare ist ein Scribd-Unternehmen logo

Cure, Clustering Algorithm

•
•
L
Lino Possamai

The document summarizes the CURE clustering algorithm, which uses a hierarchical approach that selects a constant number of representative points from each cluster to address limitations of centroid-based and all-points clustering methods. It employs random sampling and partitioning to speed up processing of large datasets. Experimental results show CURE detects non-spherical and variably-sized clusters better than compared methods, and it has faster execution times on large databases due to its sampling approach.

Technologie
1 von 19
Cure: An Efficient Clustering Algorithm for Large Databases Possamai Lino, 800509 Department of Computer Science University of Venice www.possamai.it/lino Data Mining Lecture - September 13th, 2006
Introduction ,[object Object],[object Object],[object Object],[object Object]
Drawbacks of Traditional Clustering Algorithms ,[object Object],[object Object],[object Object],[object Object]
Contribution of CURE, ideas ,[object Object],[object Object],[object Object],[object Object]
CURE architecture
Random Sampling ,[object Object],[object Object],[object Object],[object Object]
Partitioning sample ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchical Clustering Algorithm ,[object Object],[object Object],[object Object]
Hierarchical Clustering Algorithm ,[object Object],[object Object],[object Object],[object Object]
Example
Handling Outlier ,[object Object],[object Object],[object Object],[object Object],[object Object]
Labeling Data on Disk ,[object Object],[object Object],[object Object],[object Object]
Experimental Results ,[object Object],[object Object],[object Object],[object Object]
Experimental Results Quality of Clustering ,[object Object]
Experimental Results Sensitivity to Parameters ,[object Object]
Experimental Results Execution Time ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object]
Index ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object]

Empfohlen

K means Clustering Algorithm
K means Clustering AlgorithmK means Clustering Algorithm
K means Clustering Algorithm
Kasun Ranga Wijeweera
 
3.2 partitioning methods
3.2 partitioning methods3.2 partitioning methods
3.2 partitioning methods
Krish_ver2
 
Unsupervised learning (clustering)
Unsupervised learning (clustering)Unsupervised learning (clustering)
Unsupervised learning (clustering)
Pravinkumar Landge
 
Mapreduce Algorithms
Mapreduce AlgorithmsMapreduce Algorithms
Mapreduce Algorithms
Amund Tveit
 
Machine Learning with Decision trees
Machine Learning with Decision treesMachine Learning with Decision trees
Machine Learning with Decision trees
Knoldus Inc.
 
Decision tree and random forest
Decision tree and random forestDecision tree and random forest
Decision tree and random forest
Lippo Group Digital
 
Introduction to Clustering algorithm
Introduction to Clustering algorithmIntroduction to Clustering algorithm
Introduction to Clustering algorithm
hadifar
 
Dbscan algorithom
Dbscan algorithomDbscan algorithom
Dbscan algorithom
Mahbubur Rahman Shimul
 

Empfohlen

K means Clustering Algorithm
K means Clustering AlgorithmK means Clustering Algorithm
K means Clustering Algorithm
Kasun Ranga Wijeweera
 
3.2 partitioning methods
3.2 partitioning methods3.2 partitioning methods
3.2 partitioning methods
Krish_ver2
 
Unsupervised learning (clustering)
Unsupervised learning (clustering)Unsupervised learning (clustering)
Unsupervised learning (clustering)
Pravinkumar Landge
 
Mapreduce Algorithms
Mapreduce AlgorithmsMapreduce Algorithms
Mapreduce Algorithms
Amund Tveit
 
Machine Learning with Decision trees
Machine Learning with Decision treesMachine Learning with Decision trees
Machine Learning with Decision trees
Knoldus Inc.
 
Decision tree and random forest
Decision tree and random forestDecision tree and random forest
Decision tree and random forest
Lippo Group Digital
 
Introduction to Clustering algorithm
Introduction to Clustering algorithmIntroduction to Clustering algorithm
Introduction to Clustering algorithm
hadifar
 
Dbscan algorithom
Dbscan algorithomDbscan algorithom
Dbscan algorithom
Mahbubur Rahman Shimul
 
DBSCAN : A Clustering Algorithm
DBSCAN : A Clustering AlgorithmDBSCAN : A Clustering Algorithm
DBSCAN : A Clustering Algorithm
Pınar Yahşi
 
K-Means manual work
K-Means manual workK-Means manual work
K-Means manual work
Dr.E.N.Sathishkumar
 
Kmeans
KmeansKmeans
Kmeans
Nikita Goyal
 
CS9222 ADVANCED OPERATING SYSTEMS
CS9222 ADVANCED OPERATING SYSTEMSCS9222 ADVANCED OPERATING SYSTEMS
CS9222 ADVANCED OPERATING SYSTEMS
Kathirvel Ayyaswamy
 
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Simplilearn
 
3.3 hierarchical methods
3.3 hierarchical methods3.3 hierarchical methods
3.3 hierarchical methods
Krish_ver2
 
Artificial Neural Networks for Data Mining
Artificial Neural Networks for Data MiningArtificial Neural Networks for Data Mining
Artificial Neural Networks for Data Mining
Amity University | FMS - DU | IMT | Stratford University | KKMI International Institute | AIMA | DTU
 
K-Nearest Neighbor Classifier
K-Nearest Neighbor ClassifierK-Nearest Neighbor Classifier
K-Nearest Neighbor Classifier
Neha Kulkarni
 
Gradient Boosted trees
Gradient Boosted treesGradient Boosted trees
Gradient Boosted trees
Nihar Ranjan
 
Understanding Bagging and Boosting
Understanding Bagging and BoostingUnderstanding Bagging and Boosting
Understanding Bagging and Boosting
Mohit Rajput
 
Hierarchical Clustering
Hierarchical ClusteringHierarchical Clustering
Hierarchical Clustering
Carlos Castillo (ChaTo)
 
Data Analysis: Evaluation Metrics for Supervised Learning Models of Machine L...
Data Analysis: Evaluation Metrics for Supervised Learning Models of Machine L...Data Analysis: Evaluation Metrics for Supervised Learning Models of Machine L...
Data Analysis: Evaluation Metrics for Supervised Learning Models of Machine L...
Md. Main Uddin Rony
 
Multi-Layer Perceptrons
Multi-Layer PerceptronsMulti-Layer Perceptrons
Multi-Layer Perceptrons
ESCOM
 
Performance Metrics for Machine Learning Algorithms
Performance Metrics for Machine Learning AlgorithmsPerformance Metrics for Machine Learning Algorithms
Performance Metrics for Machine Learning Algorithms
Kush Kulshrestha
 
Hierachical clustering
Hierachical clusteringHierachical clustering
Hierachical clustering
Tilani Gunawardena PhD(UNIBAS), BSc(Pera), FHEA(UK), CEng, MIESL
 
Dimensionality Reduction
Dimensionality ReductionDimensionality Reduction
Dimensionality Reduction
Saad Elbeleidy
 
Autoencoders
AutoencodersAutoencoders
Autoencoders
CloudxLab
 
K-means clustering algorithm
K-means clustering algorithmK-means clustering algorithm
K-means clustering algorithm
Vinit Dantkale
 
Density Based Clustering
Density Based ClusteringDensity Based Clustering
Density Based Clustering
SSA KPI
 
Random forest algorithm
Random forest algorithmRandom forest algorithm
Random forest algorithm
Rashid Ansari
 
Data warehouse architecture
Data warehouse architectureData warehouse architecture
Data warehouse architecture
pcherukumalla
 
Cluster Analysis
Cluster AnalysisCluster Analysis
Cluster Analysis
DataminingTools Inc
 

Weitere ähnliche Inhalte

Was ist angesagt?

Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Simplilearn
 
Multi-Layer Perceptrons
Multi-Layer PerceptronsMulti-Layer Perceptrons
Multi-Layer Perceptrons
ESCOM
 

Was ist angesagt? (20)

DBSCAN : A Clustering Algorithm
DBSCAN : A Clustering AlgorithmDBSCAN : A Clustering Algorithm
DBSCAN : A Clustering Algorithm
 
K-Means manual work
K-Means manual workK-Means manual work
K-Means manual work
 
Kmeans
KmeansKmeans
Kmeans
 
CS9222 ADVANCED OPERATING SYSTEMS
CS9222 ADVANCED OPERATING SYSTEMSCS9222 ADVANCED OPERATING SYSTEMS
CS9222 ADVANCED OPERATING SYSTEMS
 
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
 
3.3 hierarchical methods
3.3 hierarchical methods3.3 hierarchical methods
3.3 hierarchical methods
 
Artificial Neural Networks for Data Mining
Artificial Neural Networks for Data MiningArtificial Neural Networks for Data Mining
Artificial Neural Networks for Data Mining
 
K-Nearest Neighbor Classifier
K-Nearest Neighbor ClassifierK-Nearest Neighbor Classifier
K-Nearest Neighbor Classifier
 
Gradient Boosted trees
Gradient Boosted treesGradient Boosted trees
Gradient Boosted trees
 
Understanding Bagging and Boosting
Understanding Bagging and BoostingUnderstanding Bagging and Boosting
Understanding Bagging and Boosting
 
Hierarchical Clustering
Hierarchical ClusteringHierarchical Clustering
Hierarchical Clustering
 
Data Analysis: Evaluation Metrics for Supervised Learning Models of Machine L...
Data Analysis: Evaluation Metrics for Supervised Learning Models of Machine L...Data Analysis: Evaluation Metrics for Supervised Learning Models of Machine L...
Data Analysis: Evaluation Metrics for Supervised Learning Models of Machine L...
 
Multi-Layer Perceptrons
Multi-Layer PerceptronsMulti-Layer Perceptrons
Multi-Layer Perceptrons
 
Performance Metrics for Machine Learning Algorithms
Performance Metrics for Machine Learning AlgorithmsPerformance Metrics for Machine Learning Algorithms
Performance Metrics for Machine Learning Algorithms
 
Hierachical clustering
Hierachical clusteringHierachical clustering
Hierachical clustering
 
Dimensionality Reduction
Dimensionality ReductionDimensionality Reduction
Dimensionality Reduction
 
Autoencoders
AutoencodersAutoencoders
Autoencoders
 
K-means clustering algorithm
K-means clustering algorithmK-means clustering algorithm
K-means clustering algorithm
 
Density Based Clustering
Density Based ClusteringDensity Based Clustering
Density Based Clustering
 
Random forest algorithm
Random forest algorithmRandom forest algorithm
Random forest algorithm
 

Andere mochten auch

Data warehouse architecture
Data warehouse architectureData warehouse architecture
Data warehouse architecture
pcherukumalla
 

Andere mochten auch (14)

Data warehouse architecture
Data warehouse architectureData warehouse architecture
Data warehouse architecture
 
Cluster Analysis
Cluster AnalysisCluster Analysis
Cluster Analysis
 
Cluster analysis
Cluster analysisCluster analysis
Cluster analysis
 
Clique
Clique Clique
Clique
 
Difference between molap, rolap and holap in ssas
Difference between molap, rolap and holap in ssasDifference between molap, rolap and holap in ssas
Difference between molap, rolap and holap in ssas
 
Database aggregation using metadata
Database aggregation using metadataDatabase aggregation using metadata
Database aggregation using metadata
 
Data preprocessing
Data preprocessingData preprocessing
Data preprocessing
 
3.4 density and grid methods
3.4 density and grid methods3.4 density and grid methods
3.4 density and grid methods
 
1.7 data reduction
1.7 data reduction1.7 data reduction
1.7 data reduction
 
Application of data mining
Application of data miningApplication of data mining
Application of data mining
 
Apriori Algorithm
Apriori AlgorithmApriori Algorithm
Apriori Algorithm
 
Cluster analysis
Cluster analysisCluster analysis
Cluster analysis
 
OLAP
OLAPOLAP
OLAP
 
Data Mining: Association Rules Basics
Data Mining: Association Rules BasicsData Mining: Association Rules Basics
Data Mining: Association Rules Basics
 

Ähnlich wie Cure, Clustering Algorithm

An Efficient Clustering Method for Aggregation on Data Fragments
An Efficient Clustering Method for Aggregation on Data FragmentsAn Efficient Clustering Method for Aggregation on Data Fragments
An Efficient Clustering Method for Aggregation on Data Fragments
IJMER
 
Extended pso algorithm for improvement problems k means clustering algorithm
Extended pso algorithm for improvement problems k means clustering algorithmExtended pso algorithm for improvement problems k means clustering algorithm
Extended pso algorithm for improvement problems k means clustering algorithm
IJMIT JOURNAL
 
Extended pso algorithm for improvement problems k means clustering algorithm
Extended pso algorithm for improvement problems k means clustering algorithmExtended pso algorithm for improvement problems k means clustering algorithm
Extended pso algorithm for improvement problems k means clustering algorithm
IJMIT JOURNAL
 
Data clustering using kernel based
Data clustering using kernel basedData clustering using kernel based
Data clustering using kernel based
IJITCA Journal
 
A PSO-Based Subtractive Data Clustering Algorithm
A PSO-Based Subtractive Data Clustering AlgorithmA PSO-Based Subtractive Data Clustering Algorithm
A PSO-Based Subtractive Data Clustering Algorithm
IJORCS
 
Comparison Between Clustering Algorithms for Microarray Data Analysis
Comparison Between Clustering Algorithms for Microarray Data AnalysisComparison Between Clustering Algorithms for Microarray Data Analysis
Comparison Between Clustering Algorithms for Microarray Data Analysis
IOSR Journals
 

Ähnlich wie Cure, Clustering Algorithm (20)

Cluster analysis
Cluster analysisCluster analysis
Cluster analysis
 
An Efficient Clustering Method for Aggregation on Data Fragments
An Efficient Clustering Method for Aggregation on Data FragmentsAn Efficient Clustering Method for Aggregation on Data Fragments
An Efficient Clustering Method for Aggregation on Data Fragments
 
Extended pso algorithm for improvement problems k means clustering algorithm
Extended pso algorithm for improvement problems k means clustering algorithmExtended pso algorithm for improvement problems k means clustering algorithm
Extended pso algorithm for improvement problems k means clustering algorithm
 
Extended pso algorithm for improvement problems k means clustering algorithm
Extended pso algorithm for improvement problems k means clustering algorithmExtended pso algorithm for improvement problems k means clustering algorithm
Extended pso algorithm for improvement problems k means clustering algorithm
 
Rohit 10103543
Rohit 10103543Rohit 10103543
Rohit 10103543
 
Data clustering using kernel based
Data clustering using kernel basedData clustering using kernel based
Data clustering using kernel based
 
Experimental study of Data clustering using k- Means and modified algorithms
Experimental study of Data clustering using k- Means and modified algorithmsExperimental study of Data clustering using k- Means and modified algorithms
Experimental study of Data clustering using k- Means and modified algorithms
 
50120140505013
5012014050501350120140505013
50120140505013
 
A PSO-Based Subtractive Data Clustering Algorithm
A PSO-Based Subtractive Data Clustering AlgorithmA PSO-Based Subtractive Data Clustering Algorithm
A PSO-Based Subtractive Data Clustering Algorithm
 
05 Clustering in Data Mining
05 Clustering in Data Mining05 Clustering in Data Mining
05 Clustering in Data Mining
 
Automated Clustering Project - 12th CONTECSI 34th WCARS
Automated Clustering Project - 12th CONTECSI 34th WCARS Automated Clustering Project - 12th CONTECSI 34th WCARS
Automated Clustering Project - 12th CONTECSI 34th WCARS
 
Enhanced Clustering Algorithm for Processing Online Data
Enhanced Clustering Algorithm for Processing Online DataEnhanced Clustering Algorithm for Processing Online Data
Enhanced Clustering Algorithm for Processing Online Data
 
Big data Clustering Algorithms And Strategies
Big data Clustering Algorithms And StrategiesBig data Clustering Algorithms And Strategies
Big data Clustering Algorithms And Strategies
 
CLUSTERING IN DATA MINING.pdf
CLUSTERING IN DATA MINING.pdfCLUSTERING IN DATA MINING.pdf
CLUSTERING IN DATA MINING.pdf
 
A0310112
A0310112A0310112
A0310112
 
Comparison Between Clustering Algorithms for Microarray Data Analysis
Comparison Between Clustering Algorithms for Microarray Data AnalysisComparison Between Clustering Algorithms for Microarray Data Analysis
Comparison Between Clustering Algorithms for Microarray Data Analysis
 
Unsupervised Learning.pptx
Unsupervised Learning.pptxUnsupervised Learning.pptx
Unsupervised Learning.pptx
 
Clustering and Classification Algorithms Ankita Dubey
Clustering and Classification Algorithms Ankita DubeyClustering and Classification Algorithms Ankita Dubey
Clustering and Classification Algorithms Ankita Dubey
 
D0931621
D0931621D0931621
D0931621
 
84cc04ff77007e457df6aa2b814d2346bf1b
84cc04ff77007e457df6aa2b814d2346bf1b84cc04ff77007e457df6aa2b814d2346bf1b
84cc04ff77007e457df6aa2b814d2346bf1b
 

Mehr von Lino Possamai

Mehr von Lino Possamai (7)

Music Motive @ H-ack
Music Motive @ H-ack Music Motive @ H-ack
Music Motive @ H-ack
 
Metodi matematici per l’analisi di sistemi complessi
Metodi matematici per l’analisi di sistemi complessiMetodi matematici per l’analisi di sistemi complessi
Metodi matematici per l’analisi di sistemi complessi
 
Multidimensional Analysis of Complex Networks
Multidimensional Analysis of Complex NetworksMultidimensional Analysis of Complex Networks
Multidimensional Analysis of Complex Networks
 
Slashdot.Org
Slashdot.OrgSlashdot.Org
Slashdot.Org
 
Optimization of Collective Communication in MPICH
Optimization of Collective Communication in MPICH Optimization of Collective Communication in MPICH
Optimization of Collective Communication in MPICH
 
A static Analyzer for Finding Dynamic Programming Errors
A static Analyzer for Finding Dynamic Programming ErrorsA static Analyzer for Finding Dynamic Programming Errors
A static Analyzer for Finding Dynamic Programming Errors
 
On Applying Or-Parallelism and Tabling to Logic Programs
On Applying Or-Parallelism and Tabling to Logic ProgramsOn Applying Or-Parallelism and Tabling to Logic Programs
On Applying Or-Parallelism and Tabling to Logic Programs
 

Kürzlich hochgeladen

IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
sammart93
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
UK Journal
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
Delhi Call girls
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
 

Kürzlich hochgeladen (20)

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 

Cure, Clustering Algorithm

  • 1. Cure: An Efficient Clustering Algorithm for Large Databases Possamai Lino, 800509 Department of Computer Science University of Venice www.possamai.it/lino Data Mining Lecture - September 13th, 2006
  • 2.
  • 3.
  • 4.
  • 6.
  • 7.
  • 8.
  • 9.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.