Sparse Support Vector Machine with Fisher-Regularizer for Data Reduction.
Xiaohan ZhengLi ZhangZhengqi ZhangPublished in: IJCNN (2022)
Keyphrases
- data reduction
- support vector machine
- feature selection
- data compression
- preprocessing
- classification accuracy
- instance selection
- representative subset
- semi supervised
- knowledge discovery
- model selection
- high dimensional
- classification rules
- machine learning
- data analysis
- support vector
- high dimensionality
- data mining
- training data
- clustering algorithm
- multi class
- singular value decomposition
- data quality
- knn
- rough set theory
- classification algorithm
- text categorization
- databases
- feature space
- semi supervised learning
- nearest neighbor
- training set
- decision making
- computer vision
- real world