Feature selection with a supervised similarity-based k-medoids clustering.
Chen-Sen OuyangPublished in: ICMLC (2014)
Keyphrases
- feature selection
- unsupervised feature selection
- unsupervised learning
- high dimensionality
- clustering algorithm
- k means
- supervised classification
- machine learning
- text categorization
- supervised learning
- data clustering
- text classification
- data mining and pattern recognition
- semi supervised
- dimensionality reduction
- hierarchical clustering
- mutual information
- spectral clustering
- feature space
- multi class
- clustering method
- data sets
- learning algorithm
- feature selection algorithms
- support vector
- class separability
- self organizing maps
- high dimensional data
- selecting features
- data points
- model selection
- feature set
- support vector machine
- supervised clustering
- information theoretic
- feature ranking
- selected features
- feature extraction
- outlier detection
- classification accuracy
- knn
- image registration