Publication | Closed Access
A Probability Theory of Cluster Analysis
133
Citations
16
References
1973
Year
Cluster ComputingExplicit DefinitionDistance REngineeringCombinatorial Data AnalysisUnsupervised Machine LearningCluster TechnologyData ScienceData MiningDiscrete MathematicsStatisticsDocument ClusteringKnowledge DiscoveryProbability TheoryCluster DevelopmentNetwork ScienceGraph TheoryBusinessFuzzy Clustering
Abstract An explicit definition of a (k, r)-cluster is proposed. Each (k, r)-cluster has the property that each of its elements is within a distance r of at least k other elements of the same cluster and the entire set can be linked by a chain of links each less than or equal to r. Some exact distributional results are derived under a nonmetric hypothesis for the case k = 1. An example is given to illustrate the use of probability theory in identifying significant clustering structures in terms of compactness and isolation.
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