Weakly supervised nonnegative matrix factorization for user-driven clustering.
Jaegul ChooChanghyun LeeChandan K. ReddyHaesun ParkPublished in: Data Min. Knowl. Discov. (2015)
Keyphrases
- nonnegative matrix factorization
- weakly supervised
- user driven
- spectral clustering
- negative matrix factorization
- document clustering
- matrix factorization
- end users
- data representation
- least squares
- semi supervised
- topic models
- superpixels
- principal component analysis
- clustering algorithm
- original data
- clustering method
- data sets
- data clustering
- multiscale
- named entities
- dimensionality reduction
- similarity measure
- image sequences
- computer vision