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Clustering methodology for symbolic data / Lynne Billard and Edwi n Diday.

By: Contributor(s): Material type: TextTextPublication details: Hoboken, NJ : Wiley, 2019.Description: vii, 340 p. : ill. ; 26 cmISBN:
  • 9780470713938 (hardcover)
Subject(s): DDC classification:
  • 519.5/3  23
Contents:
Introduction -- Symbolic data, basics -- Dissimilarity, similarity, and distance measures -- Dissimilarity, similarity, and distance measur es, modal data -- General clustering techniques -- Partitioning techniq ues -- Divisive hierarchical clustering -- Agglomerative hierarchical c lustering.
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Item type Current library Call number Status Barcode
Books - Open Access Books - Open Access Institute of Statistics and Applied Economics Book Bank 519.53 BIL (Browse shelf(Opens below)) Available 001238154

Includes bibliographical references and index.

Introduction -- Symbolic data, basics -- Dissimilarity, similarity, and distance measures -- Dissimilarity, similarity, and distance measur es, modal data -- General clustering techniques -- Partitioning techniq ues -- Divisive hierarchical clustering -- Agglomerative hierarchical c lustering.

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