Feature Selection in Unsupervised Context: Clustering Based Approach.
Artur KlepaczkoAndrzej MaterkaPublished in: CORES (2005)
Keyphrases
- unsupervised learning
- feature selection
- unsupervised feature selection
- clustering algorithm
- high dimensionality
- unsupervised classification
- unsupervised manner
- data clustering
- k means
- text categorization
- machine learning
- completely unsupervised
- minimum message length
- unsupervised clustering
- supervised classification
- clustering method
- mutual information
- multi class
- contextual information
- self organizing maps
- information theoretic
- semi supervised
- neural network
- cluster analysis
- model selection
- categorical data
- supervised learning
- data points
- feature space
- information bottleneck
- support vector