Fast classification for large data sets via random selection clustering and Support Vector Machines.
Xiaoou LiJair CervantesWen YuPublished in: Intell. Data Anal. (2012)
Keyphrases
- random selection
- support vector
- classification accuracy
- randomly selected
- support vector machine
- k means
- training set
- active learning
- learning machines
- test set
- large margin classifiers
- generalization ability
- unsupervised learning
- svm classifier
- data sets
- image classification
- feature selection
- unsupervised clustering
- cross validation
- feature vectors
- clustering algorithm
- high dimensionality
- data mining
- clustering method
- supervised learning
- benchmark datasets
- feature space
- naive bayes
- support vector machine svm
- base classifiers
- data analysis
- feature extraction
- training samples
- svm classification
- large scale data sets
- model selection
- text classification