Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood Coding.
Yu ItoShinichi OedaKenji YamanishiPublished in: SDM (2016)
Keyphrases
- negative matrix factorization
- normalized maximum likelihood
- change point detection
- matrix factorization
- minimum description length
- spatially adaptive
- sparse representation
- principal component analysis
- document clustering
- coding scheme
- coding method
- mdl principle
- non stationary
- spectral clustering
- sequential data
- high dimensional data
- information retrieval
- image representation
- locally adaptive
- text classification
- dimensionality reduction
- multiscale
- feature selection