Elementary cluster analysis : four basic methods that (usually) work /
James C. Bezdek.
- 1st
- Gistrup : River Publishers, 2022.
- xlvii, 467 p. : ill. (some col.) ; 27 cm.
- River Publishers series in mathematics, statistics and computational modelling .
Previously issued in print: 2021. Academic
I The Art and Science of Clustering 1 Clusters: The Human Point of View (HPOV) 2 Uncertainty: Fuzzy Sets and Models 3 Clusters: The Computer Point of View (CPOV) 4 The Three Canonical Problems 5 Feature Analysis II Four Basic Models and Algorithms 6 The c-Means (aka k-Means) Models 7 Probabilistic Clustering – GMD/EM 8 Relational Clustering – The SAHN Models 9 Properties of the Fantastic Four: External Cluster Validity 10 Alternating Optimization 11 Clustering in Static Big Data 12 Structural Assessment in Streaming Data
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