A Reduction SVM Classification Algorithm Based on Adaptive AP Clustering Granulation.
Xiuxi WeiPublished in: ICIC (2) (2014)
Keyphrases
- classification algorithm
- clustering algorithm
- knn
- support vector machine
- k nearest neighbor
- document classification
- classification rules
- training set
- accurate classification
- training phase
- feature reduction
- class labels
- k means
- clustering method
- naive bayes
- learning algorithm
- classification method
- classifier ensemble
- support vector
- granular computing
- input features
- data sets
- concept drift
- image classification
- nearest neighbor
- information extraction
- natural language
- cost sensitive
- feature selection
- information retrieval