Dissimilarity coefficients in hierarchical clustering for mixed and fuzzy feature variable

Dissimilarity coefficients in hierarchical clustering for mixed and fuzzy feature variable

Yang's coefficient for mixed and fuzzy feature variable was modified in terms of the aggregation technique and the entropy-based distance function. There are four proposed dissimilarity coefficients which used Yang's coefficient for numerical attributes and fuzzy attributes while entropy...

Descrición completa

Detalles Bibliográficos
Autor Principal: Farofaldino, Gay A.
Formato: Thesis
Idioma:English
Subjects:
Clustering.
Hierarchical clustering.
Dissimilarity coefficients.
Aggregation.
Entropy.
Fuzzy data.
Jensen-Shannon divergence.
Clustering algorithm.
Cluto package.
Single linkage algorithm.
Fuzzy datasets.