Improving the SVM gender classification accuracy using clustering and incremental learning.
Issam DagherFady AzarPublished in: Expert Syst. J. Knowl. Eng. (2019)
Keyphrases
- incremental learning
- support vector
- classification accuracy
- feature selection
- clustering algorithm
- support vector machine svm
- svm classification
- incremental learning algorithm
- high classification accuracy
- training data
- fuzzy artmap
- clustering method
- k means
- training set
- feature space
- support vector machine
- svm classifier
- selected features
- supervised learning
- learning process
- neural learning
- batch learning
- machine learning
- feature set
- neural network
- knn
- batch mode
- e learning
- classification algorithm
- learning environment