Fast hybrid dimensionality reduction method for classification based on feature selection and grouped feature extraction.
Mengmeng LiHaofeng WangLifang YangYou LiangZhigang ShangHong WanPublished in: Expert Syst. Appl. (2020)
Keyphrases
- feature extraction
- feature selection
- dimensionality reduction methods
- dimensionality reduction
- feature set
- discriminant analysis
- preprocessing step
- feature space
- principal component analysis
- classification accuracy
- feature vectors
- discriminant projection
- dimension reduction
- high dimensionality
- preprocessing
- pattern classification
- image classification
- tumor classification
- text classification
- linear discriminant analysis
- low dimensional
- knn
- image processing
- support vector machine
- random projections
- text categorization
- machine learning
- unsupervised learning
- pattern recognition
- support vector
- principal components analysis
- support vector machine svm
- data sets
- feature selection algorithms
- discriminative features
- high dimensional data analysis
- high dimensional data
- model selection
- high dimensional
- face recognition
- feature subset
- cross validation
- k nearest neighbor
- multimodal data
- supervised dimensionality reduction