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...

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Detalles Bibliográficos
Otros Autores: Billard, L. 1943- author (author), Diday, E., author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley [2020]
Edición:1st edition
Colección:Wiley series in computational statistics
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631600306719
Tabla de Contenidos:
  • 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.