Feature Selection in Mixture-Based Clustering.
Martin H. C. LawAnil K. JainMário A. T. FigueiredoPublished in: NIPS (2002)
Keyphrases
- feature selection
- clustering algorithm
- unsupervised feature selection
- high dimensionality
- unsupervised learning
- mixture model
- clustering method
- hierarchical clustering
- k means
- text categorization
- spectral clustering
- feature extraction
- self organizing maps
- high dimensional data
- information gain
- cluster analysis
- data clustering
- model selection
- categorical data
- dimensionality reduction
- support vector machine
- gaussian distribution
- mixture modeling
- data mining and pattern recognition
- density estimation
- feature reduction
- class separability
- mixed data
- data sets
- feature subset
- fuzzy clustering
- outlier detection
- expectation maximization
- maximum likelihood
- text classification
- classification accuracy
- feature space
- decision trees
- machine learning