TOP-SPIN: TOPic discovery via Sparse Principal component INterference.
Martin TakácSelin Damla AhipasaogluNgai-Man CheungPeter RichtárikPublished in: CoRR (2013)
Keyphrases
- principal components
- topic discovery
- text analysis
- principal component analysis
- topic models
- latent dirichlet allocation
- dimensionality reduction
- text classification
- multivariate data
- hyperplane
- high dimensional
- principal component regression
- covariance matrix
- image processing
- kernel space
- image classification
- support vector machine svm
- co occurrence
- text mining
- natural language processing
- pattern recognition
- computer vision