An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data.
Jun YanQianSheng ChengQiang YangBenyu ZhangPublished in: APWeb (2005)
Keyphrases
- text data
- subspace learning algorithm
- subspace learning
- face recognition
- high dimensional data
- text classification
- appearance modeling
- text mining
- high dimensional
- structured data
- dimensionality reduction
- incremental principal component analysis
- text documents
- document collections
- low dimensional
- log euclidean
- manifold learning
- principal component analysis
- data representation
- web pages
- riemannian metric
- pattern recognition
- sparse representation
- topic models
- similarity measure
- subspace clustering
- data analysis
- feature selection
- search engine
- learning algorithm