King presents a textbook for a first course in clustering methods and data mining as used in a wide range of sciences for students with a background in elementary statistics and some exposure to data structures. He covers hierarchical clustering, partition clustering, judgmental analysis, fuzzy clustering models and applications, classification and association rules, cluster validity, clustering categorical data, mining outliers, model-based clustering, and general issues. Distributed by Stylus Publishing and Distribution. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)