-Means Clustering Algorithm for Feature Selection and Data Set Trimming.
Thy-Hou LinHuang-Te LiKeng-Chang TsaiPublished in: J. Chem. Inf. Model. (2004)
Keyphrases
- feature selection
- data sets
- clustering algorithm
- feature selection algorithms
- microarray data
- training data
- gene expression data
- real world
- benchmark data sets
- clustering method
- multi task
- classification accuracy
- text categorization
- gene expression data sets
- database
- data clustering
- text classification
- mutual information
- feature set
- k means
- support vector
- decision trees
- machine learning
- unsupervised learning
- naive bayes
- dimensionality reduction
- image segmentation
- fuzzy c means
- data mining