Comparing LDA with pLSI as a Dimensionality Reduction Method in Document Clustering.
Tomonari MasadaSenya KiyasuSueharu MiyaharaPublished in: LKR (2008)
Keyphrases
- document clustering
- dimensionality reduction methods
- latent dirichlet allocation
- discriminant projection
- supervised dimensionality reduction
- dimensionality reduction
- text mining
- discriminant analysis
- linear discriminant analysis
- topic models
- text documents
- clustering method
- random projections
- document representation
- document collections
- principal component analysis
- clustering algorithm
- face recognition
- k means
- cluster analysis
- generative model
- feature extraction
- singular value decomposition
- dimension reduction
- feature space
- pattern recognition
- latent semantic indexing
- high dimensional data
- co occurrence
- knn
- web pages