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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Chichester, West Sussex, U.K. :
Wiley
2011.
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| Edition: | 5th ed |
| Series: | Wiley series in probability and statistics.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629302906719 |
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.
