TY  - BOOK
AU  - Hennig,Christian
AU  - Meila,Marina
AU  - Murtagh,Fionn
AU  - Rocci,Roberto
TI  - Handbook of cluster analysis
T2  - Chapman & Hall/CRC handbooks of modern statistical methods 
SN  - 9781466551886 
U1  - 000SA.072 23
PY  - 2016///
CY  - Boca Raton : 
PB  - CRC Press
KW  - Cluster analysis
KW  - Spatial analysis (Statistics)
N1  - Includes bibliographical references and index; Section I. Optimization methods --
Section II. Dissimilarity-based methods --
Section III. Methods based on probability models --
Section IV. Methods based on density modes and level sets --
Section V. Specific cluster and data formats --
Section VI. Cluster validation and further general issues
N2  - The book is organized according to the traditional core approaches to cluster analysis, from the origins to recent developments. After an overview of approaches and a quick journey through the history of cluster analysis, the book focuses on the four major approaches to cluster analysis. These approaches include methods for optimizing an objective function that describes how well data is grouped around centroids, dissimilarity-based methods, mixture models and partitioning models, and clustering methods inspired by nonparametric density estimation. The book also describes additional approaches to cluster analysis, including constrained and semi-supervised clustering, and explores other relevant issues, such as evaluating the quality of a cluster.
ER  -