Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding.
Lan BaiYuan-Hai ShaoZhen WangChun-Na LiPublished in: Knowl. Based Syst. (2019)
Keyphrases
- support vector machine
- support vector
- svm classifier
- least squares
- clustering algorithm
- generalization ability
- support vector machine svm
- training data
- kernel function
- feature selection
- soft margin
- svm classification
- clustering method
- multi class
- support vectors
- support vector regression
- machine learning
- k means
- binary classification
- training set
- high classification accuracy
- hyperplane
- feature vectors
- kernel methods
- feature reduction
- decision boundary
- radial basis function
- rbf kernel
- classification method
- cross validation
- logistic regression
- classification algorithm
- feature space
- image sequences
- classification accuracy
- decision function
- sequential minimal optimization
- structural risk minimization
- decision forest
- reduced set
- outlier detection
- self organizing maps
- k nearest neighbor
- data points
- learning algorithm