Clustering

This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: 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 authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.