Cluster Analysis - Info and Reading Options
By Brian Everitt
"Cluster Analysis" was published by Wiley in 2011 - Hoboken, it has 330 pages and the language of the book is English.
“Cluster Analysis” Metadata:
- Title: Cluster Analysis
- Author: Brian Everitt
- Language: English
- Number of Pages: 330
- Publisher: Wiley
- Publish Date: 2011
- Publish Location: Hoboken
“Cluster Analysis” Subjects and Themes:
- Subjects: ➤ Probability & Statistics - MATHEMATICS - Cluster analysis - Multivariate Analysis - MATHEMATICS / Probability & Statistics / Multivariate Analysis - Cluster analysis [mesh] - Multivariate analysis [mesh] - Qa278 .e9 2011 - 519.5/3 - Mat029020
Edition Specifications:
- Format: [electronic resource] /
- Pagination: ➤ 1 online resource (xii, 330 p.) :
Edition Identifiers:
- The Open Library ID: OL25540231M - OL16928988W
- Online Computer Library Center (OCLC) ID: 701308680 - 666867900
- Library of Congress Control Number (LCCN): 2010037932
- ISBN-13: 9780470977811 - 9780470977804 - 9780470749913 - 9780470978443
- ISBN-10: 0470977817 - 0470977809
- All ISBNs: ➤ 0470977817 - 0470977809 - 9780470977811 - 9780470977804 - 9780470749913 - 9780470978443
AI-generated Review of “Cluster Analysis”:
"Cluster Analysis" Table Of Contents:
- 1- Front Matter
- 2- An Introduction to Classification and Clustering
- 3- Detecting Clusters Graphically
- 4- Measurement of Proximity
- 5- Hierarchical Clustering
- 6- Optimization Clustering Techniques
- 7- Finite Mixture Densities as Models for Cluster Analysis
- 8- Model-Based Cluster Analysis for Structured Data
- 9- Miscellaneous Clustering Methods
- 10- Some Final Comments and Guidelines
- 11- Bibliography
- 12- Index.
"Cluster Analysis" Description:
The Open Library:
"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"--
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