Cluster Analysis for Applications
eBook - PDF

Cluster Analysis for Applications

Probability and Mathematical Statistics: A Series of Monographs and Textbooks

  1. 376 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Cluster Analysis for Applications

Probability and Mathematical Statistics: A Series of Monographs and Textbooks

About this book

Cluster Analysis for Applications deals with methods and various applications of cluster analysis. Topics covered range from variables and scales to measures of association among variables and among data units. Conceptual problems in cluster analysis are discussed, along with hierarchical and non-hierarchical clustering methods. The necessary elements of data analysis, statistics, cluster analysis, and computer implementation are integrated vertically to cover the complete path from raw data to a finished analysis. Comprised of 10 chapters, this book begins with an introduction to the subject of cluster analysis and its uses as well as category sorting problems and the need for cluster analysis algorithms. The next three chapters give a detailed account of variables and association measures, with emphasis on strategies for dealing with problems containing variables of mixed types. Subsequent chapters focus on the central techniques of cluster analysis with particular reference to computational considerations; interpretation of clustering results; and techniques and strategies for making the most effective use of cluster analysis. The final chapter suggests an approach for the evaluation of alternative clustering methods. The presentation is capped with a complete set of implementing computer programs listed in the Appendices to make the use of cluster analysis as painless and free of mechanical error as is possible. This monograph is intended for students and workers who have encountered the notion of cluster analysis.

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Information

Publisher
Academic Press
Year
2014
Print ISBN
9780120576500
eBook ISBN
9781483191393
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Cluster Analysis for Applications
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. PREFACE
  7. ACKNOWLEDGMENTS
  8. CHAPTER I. THE BROAD VIEW OF CLUSTER ANALYSIS
  9. CHAPTER 2. CONCEPTUAL PROBLEMS IN CLUSTER ANALYSIS
  10. CHAPTER 3. VARIABLES AND SCALES
  11. CHAPTER 4. MEASURES OF ASSOCIATION AMONG VARIABLES
  12. CHAPTER 5. MEASURES OF ASSOCIATION AMONG DATA UNITS
  13. CHAPTER 6. HIERARCHICAL CLUSTERING METHODS
  14. CHAPTER 7. NONHIERARCHICAL CLUSTERING METHODS
  15. CHAPTER 8. PROMOTING INTERPRETATION OF CLUSTERING RESULTS
  16. CHAPTER 9. STRATEGIES FOR USING CLUSTER ANALYSIS
  17. CHAPTER 10. COMPARATIVE EVALUATION OF CLUSTER ANALYSIS METHODS
  18. APPENDIX A: CORRELATION AND NOMINAL VARIABLES
  19. APPENDIX B: PROGRAMS FOR SCALE CONVERSIONS
  20. APPENDIX C: PROGRAMS FOR ASSOCIATION MEASURES AMONG NOMINAL AND INTERVAL VARIABLES
  21. APPENDIX D: PROGRAMS FOR ASSOCIATION MEASURES INVOLVING BINARY VARIABLES
  22. APPENDIX E: PROGRAMS FOR HIERARCHICAL CLUSTER ANALYSIS
  23. APPENDIX F: PROGRAMS FOR NONHIERARCHICAL CLUSTERING
  24. APPENDIX G: PROGRAMS TO AID INTERPRETATION OF CLUSTERING RESULTS
  25. APPENDIX H: RELATIONS AMONG CLUSTER ANALYSIS PROGRAMS
  26. REFERENCES
  27. INDEX
  28. Probability and Mathematical Statistics

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Yes, you can access Cluster Analysis for Applications by Michael R. Anderberg in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over 1.5 million books available in our catalogue for you to explore.