Hierarchically SVM classification based on support vector clustering method and its application to document categorization.
Pei-Yi HaoJung-Hsien ChiangYi-Kun TuPublished in: Expert Syst. Appl. (2007)
Keyphrases
- clustering method
- svm classification
- document categorization
- support vector
- document clustering
- support vector machine
- kernel function
- text categorization
- svm classifier
- text classification
- document representation
- meta learning
- support vector machine svm
- classification accuracy
- clustering algorithm
- vector space model
- feature selection
- support vectors
- cluster analysis
- text documents
- similarity measure
- latent semantic indexing
- image classification
- binary classification
- cross validation
- kernel methods
- bag of words
- k means
- textual data
- pattern recognition
- information retrieval
- fuzzy clustering
- image processing
- neural network
- knn
- feature vectors