Clustering

This book is the first to take a truly comprehensive look at the subject of clustering. Written by two of the best-known experts in the field, whose paper on the subject has stayed near the top of IEEE EXplores top 100 downloads for more than a year, the book looks at the full range of clustering, including An Introduction To Cluster Analysis, Proximity Measures, Hierarchical Clustering, Partition Clustering, Neural Network-Based Clustering, Kernel-Based Clustering, Sequential Data Clustering, Large-Scale Data Clustering, Data Visualization And High-Dimensional Data Clustering, and Cluster Validation. The book provides enough detail to allow the reader to select the method that best fits their application. A generous use of examples and references help make the subject matter clear for readers of different levels.