Minimal-redundancy-maximal-relevance feature selection using different relevance measures for omics data classification.
Junshan YangZexuan ZhuShan HeZhen JiPublished in: CIBCB (2013)
Keyphrases
- feature selection
- data sets
- classification accuracy
- data sources
- irrelevant features
- feature extraction
- pattern recognition
- database
- support vector
- redundant data
- feature subset
- knowledge discovery
- feature space
- training data
- information retrieval
- machine learning
- data structure
- classification models
- mutual information
- data collection
- high dimensional data
- decision trees
- data reduction