Information-theoretic limits of subspace clustering.
Kwangjun AhnKangwook LeeChangho SuhPublished in: ISIT (2017)
Keyphrases
- information theoretic
- subspace clustering
- information theory
- high dimensional data
- mutual information
- subspace clusters
- theoretic framework
- clustering method
- clustering algorithm
- clustering high dimensional data
- information bottleneck
- high dimensional
- jensen shannon divergence
- log likelihood
- information theoretic measures
- high dimensionality
- kullback leibler divergence
- low dimensional
- data analysis
- subspace projections
- data sets
- nearest neighbor
- k means
- pairwise