Clustering and Feature Selection using Sparse Principal Component Analysis
Ronny LussAlexandre d'AspremontPublished in: CoRR (2007)
Keyphrases
- feature selection
- sparse principal component analysis
- unsupervised feature selection
- clustering algorithm
- clustering method
- unsupervised learning
- high dimensionality
- k means
- data points
- data clustering
- text categorization
- feature set
- cluster analysis
- high dimensional data
- support vector
- machine learning
- classification accuracy
- feature extraction
- text classification
- k nearest neighbor
- mutual information
- feature space
- face recognition