Cluster analysis
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 d…
Read More ↓Title Statements
- Full title :Cluster analysis / Brian S. Everitt ... [et al.]
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.
This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. This book includes an appendix of getting started on cluster analysis using R, as well as a comprehensive and up-to-date bibliography."
This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics"
Edition Statements
- Publication Date:2011
- Edition:5. ed
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Chichester, West Sussex, U.K
- Language:eng
- Publication Date:2011
Notes
An introduction to classification and clustering. Detecting clusters graphically. Measurement of proximity. Hierarchical clustering. Optimization clustering techniques. Finite mixture densities as models for cluster analysis. Model-based cluster analysis for structured data. Miscellaneous clustering methods. Some final comments and guidelines
The Physical Object
- Description:xii, 330 s. : : illustrations ; : 24 cm
Edition Identifiers
- ISBN:9780470749913, 9780470977804, 9780470977811, 9780470978443, 0470749911, 0470977809, 0470977817, 0470978449
- oclc:ocn768467954
- LC Classification:QA278
- Dewey Decimal:519.5 3
Table of Contents
An introduction to classification and clustering -- Detecting clusters graphically -- Measurement of proximity -- Hierarchical clustering -- Optimization clustering techniques -- Finite mixture densities as models for cluster analysis -- Model-based cluster analysis for structured data -- Miscellaneous clustering methods -- Some final comments and guidelines.
Read More ↓Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Related Works
more →
Twelve British statisticians
Stochastic partial differential equations and applications
PATHWISE ESTIMATION AND INFERENCE FOR DIFFUSION MARKET MODELS
YEE, HIN LIN. DOKUCHAEV, NIKOLAI
Applied multiple regression/correlation analysis for the behavioral sciences
Cohen, Jacob
Latent variable and latent structure models
Files & Downloads
-
Cluster Analysis, Fifth Edition (Wiley Series in …
PDF · 2.8 MB · updated -
Cluster analysis -- (.pdf)
PDF · 2.7 MB · updated -
Cluster Analysis, 5th Edition -- (.pdf)
PDF · 10.2 MB · updated -
Cluster Analysis -- (.pdf)
PDF · 9.5 MB · updated
Rate & Review