Hierarchical clustering for mixed dataset based on variance and entropy

Hierarchical clustering for mixed dataset based on variance and entropy

Hsu?s coefficient for mixed data was modified in terms of the aggregation technique and the entropy-based distance function the efficiently cluster mixed datasets. There are six proposed dissimilarly coefficients which use variance for numerical attributes and entropy such as Shannon?s weighted entr...

詳細記述

書誌詳細
第一著者: Labayan, Luchie Marie A.
フォーマット: 学位論文
言語:English
出版事項: 2009
主題:
Aggregation.
Clustering.
Dissimilarity coefficients.
Distance hierarchy.
Entropy.
Variance.
Mixed data.
Hierarchical clustering.
Dissimilarity measures.
Datasets.