TITLE

KLASYFIKACJA OBIEKTÓW REPREZENTOWANYCH PRZEZ RÓŻNEGO RODZAJU CECHY SYMBOLICZNE

AUTHOR(S)
Machowska-Szewczyk, Małgorzata
PUB. DATE
January 2013
SOURCE
Research Papers of the Wroclaw University of Economics / Prace N;2013, Issue 278, p290
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The majority of discussed classification methods allow clustering of symbolic objects described by variables of the same type. In real applications many objects can be characterized by symbolic mixed feature types: both numeric-valued, interval-valued, set of categories-valued and ordered list-value with weights. The aim of this work is to present clustering algorithms discussed in paper [de Carvalho, de Souza 2010] for objects, which can be described simultaneously by mixed type symbolic data and to propose generalization of these algorithms for fuzzy classification. The main idea is the transformation of mixed feature-type symbolic data into histogram-valued symbolic data.
ACCESSION #
90008657

 

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