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...

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Dettagli Bibliografici
Autore principale: Farofaldino, Gay A.
Natura: Tesi
Lingua:English
Soggetti:
Clustering.
Hierarchical clustering.
Dissimilarity coefficients.
Aggregation.
Entropy.
Fuzzy data.
Jensen-Shannon divergence.
Clustering algorithm.
Cluto package.
Single linkage algorithm.
Fuzzy datasets.