Deterministic Feature Selection for $k$-Means Clustering.
Christos BoutsidisMalik Magdon-IsmailPublished in: IEEE Trans. Inf. Theory (2013)
Keyphrases
- feature selection
- feature space
- feature selection algorithms
- text categorization
- k means
- high dimensionality
- text classification
- mutual information
- machine learning
- irrelevant features
- bayes classifier
- information gain
- multi class
- support vector machine
- clustering algorithm
- feature extraction
- method for feature selection
- feature selection and classification
- black box
- feature set
- selected features
- small sample
- classification models
- support vector
- feature subset
- database
- unsupervised feature selection
- redundant features
- microarray data
- text mining