Clustering by non-negative matrix factorization with independent principal component initialization.
Liyun GongAsoke K. NandiPublished in: EUSIPCO (2013)
Keyphrases
- negative matrix factorization
- principal components
- principal component analysis
- document clustering
- nonnegative matrix factorization
- k means
- spectral clustering
- clustering algorithm
- clustering method
- matrix factorization
- dimensionality reduction
- data clustering
- tensor factorization
- low dimensional
- text mining
- sparse representation
- cluster analysis
- dimension reduction
- kernel space
- high dimensional data
- text documents
- singular value decomposition
- unsupervised learning
- machine learning
- latent semantic space
- sample size
- document collections
- data points
- pattern recognition
- feature extraction
- face recognition
- decision trees
- computer vision