Weighting quantitative and qualitative variables in clustering methods.

Gibert, Karina, and Cortés, Ulises. "Weighting quantitative and qualitative variables in clustering methods.." Mathware and Soft Computing 4.3 (1997): 251-266. <http://eudml.org/doc/39112>.

@article{Gibert1997,
abstract = {Description of individuals in ill-structured domains produces messy data matrices. In this context, automated classification requires the management of those kind of matrices. One of the features involved in clustering is the evaluation of distances between individuals. Then, a special function to calculate distances between individuals partially simultaneously described by qualitative and quantitative variables is required.In this paper properties and details of the metrics used by Klass in this situation is presented - Klass is a clustering system oriented to the classification of ill-structured domains which implements an adapted version of the reciprocal neighbors algorithm; it also takes advantage of any additional information that an expert can provide about the target concepts.},
author = {Gibert, Karina, Cortés, Ulises},
journal = {Mathware and Soft Computing},
keywords = {Análisis cluster; Matrices de datos; Análisis cualitativo; Análisis cuantitativo; Dominios estructurales; Mezclado; Métrica; KLASS; statistical clustering system},
language = {eng},
number = {3},
pages = {251-266},
title = {Weighting quantitative and qualitative variables in clustering methods.},
url = {http://eudml.org/doc/39112},
volume = {4},
year = {1997},
}

TY - JOUR
AU - Gibert, Karina
AU - Cortés, Ulises
TI - Weighting quantitative and qualitative variables in clustering methods.
JO - Mathware and Soft Computing
PY - 1997
VL - 4
IS - 3
SP - 251
EP - 266
AB - Description of individuals in ill-structured domains produces messy data matrices. In this context, automated classification requires the management of those kind of matrices. One of the features involved in clustering is the evaluation of distances between individuals. Then, a special function to calculate distances between individuals partially simultaneously described by qualitative and quantitative variables is required.In this paper properties and details of the metrics used by Klass in this situation is presented - Klass is a clustering system oriented to the classification of ill-structured domains which implements an adapted version of the reciprocal neighbors algorithm; it also takes advantage of any additional information that an expert can provide about the target concepts.
LA - eng
KW - Análisis cluster; Matrices de datos; Análisis cualitativo; Análisis cuantitativo; Dominios estructurales; Mezclado; Métrica; KLASS; statistical clustering system
UR - http://eudml.org/doc/39112
ER -