Clustering methodology for symbolic data / Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine).

By:

Billard, L. (Lynne), 1943- [author.]

Contributor(s):

Diday, E [author.]

Material type: Text

TextSeries: Wiley series in computational statisticsPublisher: Hoboken, NJ : Wiley, 2019Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781119010388
1119010381
9781119010395
111901039X
9781119010401
1119010403

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Print version:: Clustering methodology for symbolic dataDDC classification:

519.5/3 23

LOC classification:

QA278.55

Online resources:

Wiley Online Library

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.

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Includes bibliographical references and index.

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Clustering methodology for symbolic data / Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine).

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