Elementary Cluster Analysis

Elementary Cluster Analysis

Four Basic Methods that (Usually) Work

Bezdek, James C.

River Publishers

03/2022

516

Dura

Inglês

9788770224253

15 a 20 dias

1111

Descrição não disponível.
Preface, 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; 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 Big Static Data; 12. Structural Assessment in Streaming Data; Lists of Acronyms, Abbreviations, Algorithms, Definitions, Examples, Figures, Tables, Theorems, Video Links; Subject Index.
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Data Set;iVAT Images;HCM;Streaming Data;Single Linkage Clustering;CVIs;CP;FCM Algorithm;Clustering Algorithms;Cluster Heat Map;Label Vector;Euclidean Distance Matrix;Mst;Em Algorithm;Fuzzy Partitions;NCOP Problem;Crisp Clusters;Dissimilarity Data;Dissimilarity Matrix;Cluster Centers;FCM;MFs;Stream Clustering;Fuzzy Sets;Dunn's Index