A Semi-NMF-PCA Unified Framework for Data Clustering.
Kais AllabLazhar LabiodMohamed NadifPublished in: IEEE Trans. Knowl. Data Eng. (2017)
Keyphrases
- data clustering
- unified framework
- negative matrix factorization
- spectral clustering
- principal component analysis
- nonnegative matrix factorization
- k means
- exploratory data analysis
- clustering algorithm
- cluster analysis
- probabilistic model
- deterministic annealing
- document clustering
- unsupervised learning
- matrix factorization
- principal components
- principal components analysis
- sparse representation
- feature extraction
- image segmentation
- unsupervised feature selection
- dimensionality reduction
- graph partitioning
- feature space
- face recognition
- neural network
- data sets
- natural language processing
- high dimensional
- object recognition
- feature selection
- data mining
- databases