Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition

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Resumen

Introduction. Basic Concepts. Classical Fuzzy Clustering Algorithms. Linear and Ellipsoidal Prototypes Shell Prototypes. Polygonal Object Boundaries. Cluster Estimation Models. Cluster Validity. Rule Generation with Clustering. Appendix. Bibliography.

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Cite This Study

Rayward‐Smith et al. (Thu,) studied this question.

synapsesocial.com/papers/6a17ef57aeefdf6d9c132ac8 https://doi.org/https://doi.org/10.2307/254022