An analysis of k-mer frequency features with SVM and CNN for viral subtyping classification.
Vicente Enrique Machaca ArcedaPublished in: J. Comput. Sci. Technol. (2020)
Keyphrases
- feature vectors
- svm classifier
- support vector machine svm
- support vector
- classification method
- support vector machine
- feature space
- svm classification
- classification accuracy
- feature analysis
- support vector machine classifiers
- features extraction
- classification process
- feature set
- feature extraction
- decision trees
- extracted features
- classification algorithm
- feature selection
- pattern recognition
- improves the classification accuracy
- naive bayes classifier
- multi class classification
- high classification accuracy
- spam classification
- machine learning
- classification models
- selected features
- decision forest
- knn
- input features
- benchmark datasets
- classification performances
- unbalanced data
- cellular neural networks
- train a support vector machine
- bayes classifier
- feature ranking
- feature maps
- multiple kernel learning
- eeg signals
- feature selection algorithms
- kernel function
- training samples
- text classification
- image classification
- image features