Local Kernel Regression Score for Selecting Features of High-Dimensional Data.
Yiu-ming CheungHong ZengPublished in: IEEE Trans. Knowl. Data Eng. (2009)
Keyphrases
- high dimensional data
- kernel regression
- selecting features
- dimensionality reduction
- nearest neighbor
- regression model
- high dimensional
- feature selection
- low dimensional
- data points
- data sets
- high dimensionality
- selected features
- data analysis
- individual features
- dimension reduction
- linear regression
- feature subset
- missing values
- sparse representation
- linear discriminant analysis
- knn
- pattern recognition
- model selection
- text categorization
- k nearest neighbor
- input data
- feature set
- principal component analysis
- input image
- machine learning