Cluster analysis /
This book is designed to be an introduction to cluster analysis for those with no background and for those who need an up-to-date and systematic guide through the maze of concepts, techniques, and algorithms associated with the clustering data. The authors begin by discussing measures of similarity,...
| Основен автор: | Aldenderfer, Mark S. |
|---|---|
| Други автори: | Blashfield, Roger K., 1944- |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Beverly Hills, Calif. :
Sage Publications,
℗♭1984.
|
| Серия: |
Quantitative applications in the social sciences ;
no. 07-044. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=24703 |
| Подобни документи: |
Print version::
Cluster analysis. |
Съдържание:
- 1. Introduction. How clustering methods are used
- Data sets to be used as examples
- A few cautions about cluster analysis
- 2. Similarity measures. Terminology
- The concept of similarity
- The choice of variables
- Similarity measures
- 3. A review of clustering methods. On the nature of clusters
- Hierarchical agglomerative methods
- Iterative partitioning methods
- Factor analysis variants
- Other methods
- Determining the number of clusters
- Comparing clustering methods
- 4. Validation techniques. Cophenetic correlation
- Significance tests on variables used to create clusters
- Replication
- Significance tests on external variables
- Monte Carlo procedures
- 5. Cluster analysis software and the literature on clustering
- Collections of subroutines and algorithms
- Statistical packages containing clustering software
- Cluster analysis packages
- Simple cluster analysis programs
- The literature on cluster analysis
- Guide to reporting cluster analysis studies
- Appendix. Example data sets (burial data)
- Notes
- References
- About the authors.