Clustering-Based Data Reduction Approach to Speed up SVM in Classification and Regression Tasks.
Adamo SantanaSouta InoueKenya MurakamiTatsuya IizakaTetsuro MatsuiPublished in: IEA/AIE (2020)
Keyphrases
- data reduction
- support vector
- support vector machine svm
- feature selection
- classification accuracy
- model selection
- support vector machine
- classification rules
- data compression
- classification algorithm
- svm classifier
- high dimensionality
- preprocessing
- regression problems
- feature space
- data analysis
- machine learning
- feature vectors
- text classification
- genetic programming
- standard svm
- classification and regression problems
- feature extraction
- representative subset
- decision trees
- training set
- kernel function
- knn
- training data
- pattern recognition
- singular value decomposition
- instance selection
- evolutionary algorithm
- training samples
- rough set theory
- feature set
- neural network
- naive bayes
- k nearest neighbor