John Wiley & Sons, Jan 14, 2011 - Mathematics - 346 pages
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.
This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.
• Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis.
Practitioners and researchers working in cluster analysis and data analysis will benefit from this book.
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Review: Cluster AnalysisUser Review - Darin Brezeale - Goodreads
This book is an in depth presentation of clustering. Concepts are explained well. There aren't many books devoted entirely to cluster analysis, but this is the best of those I have seen. Read full review
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