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 shipping in the US 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: CRC Press LLC
Subject: Machine Theory, Probability & Statistics / Multivariate Analysis, Probability & Statistics / General, Statistics
Item Height: 1.9 in
Publication Year: 2015
Item Weight: 53.7 Oz
Type: Textbook
Item Length: 10.3 in
Author: Fionn Murtagh
Subject Area: Mathematics, Computers, Business & Economics
Item Width: 7.2 in
Series: Chapman and Hall/Crc Handbooks of Modern Statistical Methods Ser.
Format: Hardcover
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