A k-Means-Like Algorithm for Clustering Categorical Data Using an Information Theoretic-Based Dissimilarity Measure.
Thu-Hien Thi NguyenVan-Nam HuynhPublished in: FoIKS (2016)
Keyphrases
- k means
- information theoretic
- mutual information
- dissimilarity measure
- clustering method
- similarity measure
- information bottleneck
- information theory
- relative entropy
- expectation maximization
- log likelihood
- dynamic programming
- neural network
- input data
- convex hull
- point sets
- bayesian framework
- affine transformation
- pairwise
- object recognition
- face recognition
- data sets
- jensen shannon divergence