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.
R. Xu and D. C. Wunsch, "Clustering," Wiley-IEEE Press, Jan 2014.
The definitive version is available at http://dx.doi.org/10.1002/9780470382776
Electrical and Computer Engineering
International Standard Book Number (ISBN)
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