Clustering

by Rui Xu, Rui Xu

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.

368 pages, Hardcover

First published October 24, 2008

Reviews

[Victor · Rating 4 out of 5]

Good introduction about clustering, algorithms, validation, analysis and visualization.