Description: Handbook of Cluster Analysis, Hardcover by Hennig, Christian (EDT); Meila, Marina (EDT); Murtagh, Fionn (EDT); Rocci, Roberto (EDT), ISBN 1466551887, ISBN-13 9781466551886, Brand New, Free P&P in the UK After reviewing the history of cluster analysis, this collection describes the four primary approaches to cluster analysis: optimization, dissimilarity-based methods, probability models, and density estimation. The main focus of the handbook is on structures following the partitioning paradigm in some sense, that is, partitions, hierarchies, and probabilistic clusterings. The 31 contributions describe center-based clustering, mixture models for standard p=dimensional Euclidean data, latent class models for categorical data, the Dirichlet process, clustering of symbolic data, significance testing, two-mode partitioning, and method-independent indices for cluster validation. Annotation ©2016 Ringgold, Inc., Portland, OR ()
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Book Title: Handbook of Cluster Analysis
Number of Pages: 753 Pages
Publication Name: Handbook of Cluster Analysis
Language: English
Publisher: Taylor & Francis INC International Concepts
Item Height: 254 mm
Subject: Mathematics
Publication Year: 2015
Type: Textbook
Item Weight: 1520 g
Author: Marina Meila, Fionn Murtagh, Roberto Rocci, Christian Hennig
Item Width: 178 mm
Series: Chapman & Hall/Crc Handbooks of Modern Statistical Methods
Format: Hardcover
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