Adaptive subspace learning: an iterative approach for document clustering.
Xian WuXiaoming ChenXiang LiLingli ZhouJian-Huang LaiPublished in: Neural Comput. Appl. (2014)
Keyphrases
- document clustering
- subspace learning
- dimensionality reduction
- document collections
- clustering algorithm
- data representation
- clustering method
- manifold learning
- text documents
- text mining
- low dimensional
- latent semantic space
- face recognition
- k means
- sparse representation
- principal component analysis
- semi supervised
- high dimensional data
- sparse coding
- learning algorithm
- machine learning
- data sets
- maximum likelihood
- unsupervised learning
- object recognition
- pattern recognition
- neural network