A criterion for measuring the separability of clusters and its applications to principal component analysis.
Mahdi YektaiiPrabir BhattacharyaPublished in: Signal Image Video Process. (2011)
Keyphrases
- principal component analysis
- dimensionality reduction
- principal components
- clustering algorithm
- class separability
- cluster analysis
- independent component analysis
- feature space
- data points
- linear discriminant analysis
- hierarchical clustering
- fuzzy clustering
- input space
- feature extraction
- dimension reduction
- data clustering
- optimization criterion
- arbitrary shape
- machine learning
- cluster validation
- singular value decomposition
- data distribution
- low dimensional
- face recognition
- decision trees
- input data
- lower dimensional
- feature selection
- discriminant analysis
- bayesian information criterion
- k means
- random projections
- negative matrix factorization
- input image
- expectation maximization
- covariance matrix
- document clustering