Redundant features removal for unsupervised spectral feature selection algorithms: an empirical study based on nonparametric sparse feature graph.
Pengfei XuShuchu HanHao HuangHong QinPublished in: Int. J. Data Sci. Anal. (2019)
Keyphrases
- redundant features
- feature selection algorithms
- feature selection
- irrelevant features
- feature subset
- irrelevant and redundant features
- high dimensionality
- data sets
- feature set
- selection algorithm
- unsupervised learning
- learning models
- semi supervised
- text categorization
- high dimensional
- feature space
- genetic algorithm
- log linear models
- feature extraction
- supervised learning
- classification accuracy
- training data
- hidden markov models
- image processing
- stability of feature selection
- knn