Deterministic Feature Selection for $k$-means Clustering
Christos BoutsidisMalik Magdon-IsmailPublished in: CoRR (2011)
Keyphrases
- feature selection
- text categorization
- machine learning
- mutual information
- feature set
- clustering algorithm
- information gain
- multi class
- feature space
- support vector
- k means
- unsupervised learning
- bayes classifier
- classification accuracy
- unsupervised feature selection
- feature extraction
- data mining
- microarray classification
- feature selection algorithms
- method for feature selection
- data sets
- support vector machine
- text classification
- small sample
- partitioned data
- database
- support vector classification
- genetic algorithm
- forward selection
- reinforcement learning
- informative features
- knn
- discriminative features
- nearest neighbor
- microarray data
- clustering method
- naive bayes
- dimensionality reduction