A fuzzy co-clustering interpretation of probabilistic latent semantic analysis.
Katsuhiro HondaTakafumi GoshimaSeiki UbukataAkira NotsuPublished in: FUZZ-IEEE (2016)
Keyphrases
- probabilistic latent semantic analysis
- co occurrence
- visual features
- probabilistic model
- latent semantic
- latent dirichlet allocation
- topic models
- em algorithm
- semi supervised
- latent semantic analysis
- negative matrix factorization
- topic modeling
- text mining
- active learning
- latent topics
- high level
- clustering algorithm
- expectation maximization
- data mining
- information extraction
- low level
- scene classification