Information Theoretic Subspace Clustering.
Ran HeLiang WangZhenan SunYingya ZhangBo LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2016)
Keyphrases
- information theoretic
- subspace clustering
- information theory
- mutual information
- high dimensional data
- clustering method
- subspace clusters
- clustering high dimensional data
- theoretic framework
- high dimensional
- information theoretic measures
- clustering algorithm
- log likelihood
- information bottleneck
- kullback leibler divergence
- jensen shannon divergence
- relative entropy
- entropy measure
- data sets
- kl divergence
- distributional clustering
- high dimensionality
- low dimensional
- data points
- image segmentation