ABSTRACT

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.The

part |2 pages

Section II Dissimilarity-Based Methods

chapter 6|22 pages

Hierarchical Clustering

chapter 7|18 pages

Spectral Clustering

part |2 pages

Section III Methods Based on Probability Models

part |2 pages

Section IV Methods Based on Density Modes and Level Sets

chapter 19|22 pages

Nature-Inspired Clustering

chapter |2 pages

SectionV

chapter 20|26 pages

Semi-Supervised Clustering

chapter 21|28 pages

Clustering of Symbolic Data

chapter 24|30 pages

Fuzzy Clustering

chapter 25|18 pages

Rough Set Clustering