Clustering methodology for symbolic data
Covers everything readers need to know about clustering methodology for symbolic data—including new methods and headings—while providing a focus on multi-valued list data, interval data and histogram data This book presents all of the latest developments in the field of clustering methodology for sy...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Hoboken, New Jersey :
Wiley
[2020]
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| Edition: | 1st edition |
| Series: | Wiley series in computational statistics
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631600306719 |
Table of Contents:
- Introduction
- Symbolic data, basics
- Dissimilarity, similarity, and distance measures
- Dissimilarity, similarity, and distance measures, modal data
- General clustering techniques
- Partitioning techniques
- Divisive hierarchical clustering
- Agglomerative hierarchical clustering.
