Combining clustering and SVM for automatic modulation classification.
Aisheng LiuQi ZhuPublished in: Int. J. Comput. Appl. Technol. (2012)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- svm classifier
- classification algorithm
- classification method
- svm classification
- feature vectors
- feature selection
- generalization ability
- pattern recognition
- clustering method
- unsupervised classification
- classification accuracy
- training set
- support vector machine classifiers
- clustering algorithm
- feature reduction
- multi class classification
- decision boundary
- unsupervised learning
- improves the classification accuracy
- partially supervised
- machine learning
- multiclass support vector machines
- cluster analysis
- knn
- decision trees
- pattern classification
- multi class svm
- feature space
- k nearest neighbor
- image classification
- k means
- clustering analysis
- ensemble classifier
- learning algorithm
- unbalanced data
- feature extraction
- structured output
- multi class
- self organizing maps
- multiple kernel learning
- kernel function
- hyperplane
- cost sensitive
- radial basis function
- document clustering
- high dimensionality