A clustering algorithm based on the weighted entropy of conditional attributes for mixed data.
Jing ZhouKe ChenJinsheng LiuPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- mixed data
- clustering algorithm
- mixture of gaussian distributions
- knn
- data sets
- data compression
- similarity function
- mutual information
- information theoretic
- information theory
- binary valued
- pairwise
- minimum error
- possibilistic c means
- attribute values
- document clustering
- multi attribute
- weighted graph
- decision table
- information entropy
- multiple attributes