Feature Selection via Correlation Coefficient Clustering.
Hui-Huang HsuCheng-Wei HsiehPublished in: J. Softw. (2010)
Keyphrases
- correlation coefficient
- feature selection
- stepwise regression
- information gain
- standard deviation
- unsupervised feature selection
- unsupervised learning
- high dimensionality
- clustering algorithm
- precision recall
- clustering method
- k means
- root mean square error
- text categorization
- intuitionistic fuzzy sets
- noise variance
- correlation analysis
- document clustering
- text classification
- feature set
- principal components
- data points
- high dimensional
- autocorrelation function
- support vector
- machine learning
- dimension reduction
- dimensionality reduction
- classification accuracy