Feature selection for clustering with constraints using Jensen-Shannon divergence.
Yuanhong LiMing DongYunqian MaPublished in: ICPR (2008)
Keyphrases
- jensen shannon divergence
- feature selection
- information theoretic
- mutual information
- information theory
- unsupervised feature selection
- high dimensionality
- unsupervised learning
- constrained clustering
- k means
- clustering algorithm
- clustering method
- data clustering
- selection criterion
- classification accuracy
- jensen shannon
- feature extraction
- dimensionality reduction
- pair wise constraints
- support vector
- feature selection algorithms
- support vector machine
- dimension reduction
- spectral clustering
- dissimilarity measure
- machine learning
- high dimensional data
- semi supervised clustering
- text categorization
- pairwise
- cluster analysis
- feature subset
- point correspondences
- model selection
- feature space