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. Only available on web
eBook - PDF

Cluster Analysis for Applications

Probability and Mathematical Statistics: A Series of Monographs and Textbooks

Book details
Table of contents
Citations

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.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
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 Mathematik & Angewandte Mathematik. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
ISBN
9781483191393
Topic
Mathematik
Subtopic
Angewandte Mathematik

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