Selecting feature subset with sparsity and low redundancy for unsupervised learning.
Jiuqi HanZhengya SunHongwei HaoPublished in: Knowl. Based Syst. (2015)
Keyphrases
- feature subset
- unsupervised learning
- selection algorithm
- feature subset selection
- feature selection
- selecting features
- classification accuracy
- feature space
- feature ranking
- dimensionality reduction
- supervised learning
- selected features
- feature set
- high dimensional
- input features
- feature selection algorithms
- genetic algorithm ga
- filter based feature selection
- classification models
- outlier detection
- optimal subset of features
- unsupervised feature selection
- irrelevant features
- reinforcement learning
- data mining
- computer vision
- pairwise
- support vector machine
- semi supervised
- optimization method
- neural network
- training set
- sparse representation
- training data
- kernel parameters
- redundant features
- text classification
- method for feature selection