Clustering methodology for symbolic data / Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine).
Material type: TextSeries: Wiley series in computational statisticsPublisher: Hoboken, NJ : Wiley, 2019Description: 1 online resourceContent type:- text
- computer
- online resource
- 9781119010388
- 1119010381
- 9781119010395
- 111901039X
- 9781119010401
- 1119010403
- 519.5/3 23
- QA278.55
Includes bibliographical references and index.
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.
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