Data mining—core of knowledge discovery process Selection and Transformation Pattern Evaluation Data Mining Data Warehouse Data Cleaning and Integration Databases 2012/11/4 Flat files 2 Cluster Analysis ? What
Definition Clustering can be considered the most important unsupervised learning technique; so, as every other problem of this kind, it deals with finding a structure in a collection of unlabeled data. Clustering is “the process of organizing objects into groups whose members are similar in some ...
DATA MINING WITH CLUSTERING AND CLASSIFICATION pptdoi:10.4135/9781483381503.n294classification ppt
Introduction : Clustering in data mining is a discovery process that groups a set of data The applications of clustering include : categorization of documents on the World Wide Web grouping of genes and proteins that have similar functionality characterization of different customer groups Clustering algo...
Findsuitableandusefulgrouping”useful”DataClasses FindunusualdataobjectOutlierDetection ExamplesofClusteringApplications Plant/AnimalClassification BookOrdering ClothSizes FraudDetection(Findoutlier) RequirementsofClusteringinDataMining Scalability Abilitytodealwithdifferenttypesofattributes ...
InDataMining GDM RonaldTreur 23September2003 Contents SpatialClustering Considerations ClusteringAlgorithms PartitioningMethods HierarchicalMethods Density-basedMethods Grid-basedMethods Constraint-basedAnalysis Conclusion SpatialClustering Spatialclusteringistheprocessofgroupingasetofobjectsintoclassesorclusterssothatobjects...
CHAMELEON,AHierarchicalClusteringAlgorithmUsingDynamicModelingPaperpresentationindataminingclassPresenter,許明壽,蘇建仲Data,20,金锄头文库
SubspaceClusteringforHighDimensionalData http://wisdom.dlut.edu.cn Contents Algorithmsforclustering CLIQUE,PROCLUSandS3C experiments ProblemDescription SubspaceClustering:findclustersindifferentsubspaces.Top-down:findaninitialclusteringinthefullsetofdimensionsandevaluatethesubspaceofeachclusterBottom-Up:finddenseregionsin...
Plot given data Construct a distance matrix 1 2 3 4 5 6 0.24 0.22 0.15 0.37 0.2 0.34 0.14 0.28 0.29 0.23 0.25 0.11 0.39 Identify two nearest clusters Repeat process until all objects in same cluster Average link Average distance matrix...
Intelligent Database Systems Lab N.Y.U.S.T. I. M. 4 Objectives To integrate the data topology, present in the SOM’s knowledge, into the visualization of the SOM for improved capture of clusters. This objective will be accomplished through a new concept of the “connectivity mat...