Invariant hierarchical clustering schemes

Ildar Batyrshin, Tamas Rudas

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

5 Citas (Scopus)

Resumen

A general parametric scheme of hierarchical clustering procedures with invariance under monotone of similarity values and invariance under numeration of objects is described. This scheme consists of two steps: of given similarity values between objects and transitive closure of obtained valued relation. Some theoretical properties of considered scheme are studied. Different parametric classes of clustering procedures from this scheme based on perception like "keep similarity classes," "break bridges between clusters," etc. are considered. Several examples are used to illustrate the application of proposed clustering procedures to analysis of similarity structures of data.

Idioma originalInglés
Título de la publicación alojadaPerception-based Data Mining and Decision Making in Economics and Finance
EditoresIldar Batyrshin, Leonid Sheremetov, Janusz Kacprzyk, Lotfi Zadeh, Ildar Batyrshin, Leonid Sheremetov
Páginas181-206
Número de páginas26
DOI
EstadoPublicada - 2007
Publicado de forma externa

Serie de la publicación

NombreStudies in Computational Intelligence
Volumen36
ISSN (versión impresa)1860-949X

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