Cluster Analysis
By: Everitt, Brian S
| Leese, Morven | Stahl, Daniel.
Material type: 
BookSeries: Wiley Series in Probability and Mathematical Statistics. Publisher: Chichester et al., Wiley, 2011Description: 346 pages.ISBN: 978-0-470-74881-3.Subject(s): cluster analysis | data analysis | social sciences | social sciencesGenre/Form: introductionOnline resources: publisher's website Summary: 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.
Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis. (5th ed.)
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Monography | Library | C2 84 (Browse shelf) | Available | 112604 |
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.
Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis. (5th ed.)
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