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
Optimization Methods. Dissimilarity-Based Methods. Methods Based on Probability Models. Methods Based on Density Modes and Level Sets. Specific Cluster and Data Formats. Cluster Validation and Further General Issues.
