Cluster Analysis
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Beschreibung
Cluster analysis comprises a range of methods for classifyingmultivariate data into subgroups. By organizing multivariate datainto such subgroups, clustering can help reveal the characteristicsof any structure or patterns present. These techniques have provenuseful in a wide range of areas such as medicine, psychology,market research and bioinformatics.
This fifth edition of the highly successful ClusterAnalysis includes coverage of the latest developments in thefield and a new chapter dealing with finite mixture models forstructured data.
Real life examples are used throughout to demonstrate theapplication of the theory, and figures are used extensively toillustrate graphical techniques. The book is comprehensive yetrelatively non-mathematical, focusing on the practical aspects ofcluster analysis.
Key Features:
* Presents a comprehensive guide to clustering techniques,with focus on the practical aspects of cluster analysis.
* Provides a thorough revision of the fourth edition,including new developments in clustering longitudinal data andexamples from bioinformatics and gene studies
* Updates the chapter on mixture models to include recentdevelopments and presents a new chapter on mixture modeling forstructured data.
Practitioners and researchers working in cluster analysis anddata analysis will benefit from this book.
Autor*in
Brian S. Everitt
Themen in »Cluster Analysis«
Data Analysis Data Mining Data Mining Statistics Datenanalyse Longitudinal Analysis Longitudinalanalyse Statistics Statistik