A novel DBSCAN with entropy and probability for mixed data.
Xingxing LiuQing YangLing HePublished in: Clust. Comput. (2017)
Keyphrases
- mixed data
- clustering algorithm
- mixture of gaussian distributions
- data sets
- conditional entropy
- data compression
- k means
- knn
- information theory
- density based clustering
- information theoretic
- similarity function
- spatial clustering
- data clustering
- clustering method
- probability distribution
- multiscale
- neural network
- mutual information
- computational complexity
- machine learning