CHAMELEON A Hierarchical Clustering Algorithm :变色龙的层次聚类算法ppt课件.ppt

CHAMELEON A Hierarchical Clustering Algorithm :变色龙的层次聚类算法ppt课件.ppt

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1、CHAMELEON:AHierarchicalClusteringAlgorithmUsingDynamicModelingPaperpresentationindataminingclassPresenter:許明壽;蘇建仲Data:2001/12/182001/12/181CHAMELEONAboutthispaper…DepartmentofComputerScienceandEngineering,UniversityofMinnesotaGeorgeKarypisEui-Honh(Sam)HanVipinKumarIEEEComputerJour

2、nal-Aug.1999OutlineProblemsdefinitionMainalgorithmKeysfeaturesofCHAMELEONExperimentandrelatedworkedConclusionanddiscussionProblemsdefinitionClusteringIntraclustersimilarityismaximizedInterclustersimilarityisminimizedProblemsofexistingclusteringalgorithmsStaticmodelconstrainBreakdo

3、wnwhenclustersthatareofdiverseshapes,densities,andsizesSusceptibletonoise,outliers,andartifactsStaticmodelconstrainDataspaceconstrainKmeans,PAM…etcSuitableonlyfordatainmetricspacesClustershapeconstrainKmeans,PAM,CLARANSAssumeclusterasellipsoidalorglobularandaresimilarsizesClusterd

4、ensityconstrainDBScanPointswithingenuineclusteraredensity-reachableandpointacrossdifferentclustersarenotSimilaritydetermineconstrainCURE,ROCKUsestaticmodeltodeterminethemostsimilarclustertomergePartitiontechniquesproblem(a)Clustersofwidelydifferentsizes(b)ClusterswithconvexshapesH

5、ierarchicaltechniqueproblem(1/2)The{(c),(d)}willbechoosetomergewhenweonlyconsiderclosenessHierarchicaltechniqueproblem(2/2)The{(a),(c)}willbechoosetomergewhenweonlyconsiderinter-connectivityMainalgorithmTwophasealgorithmPHASEIUsegraphpartitioningalgorithmtoclusterthedataitemsintoa

6、largenumberofrelativelysmallsub-clusters.PHASEIIUsesanagglomerativehierarchicalclusteringalgorithmtofindthegenuineclustersbyrepeatedlycombiningtogetherthesesub-clusters.FrameworkConstructSparseGraphPartitiontheGraphMergePartitionFinalClustersDataSetKeysfeaturesofCHAMELEONModelingt

7、hedataModelingtheclustersimilarityPartitionalgorithmsMergeschemesTermsArgumentsneededKK-nearestneighborgraphMINSIZETheminimasizeofinitialclusterTRIThresholdofrelatedinter-connectivityTRCThresholdofrelatedintra-connectivityαCoefficientforweightofRIandRCModelingthedataK-nearestneigh

8、borgraphapproachAdvantagesDatapoi

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