Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing.
Hwanjo YuJiong YangJiawei HanXiaolei LiPublished in: Data Min. Knowl. Discov. (2005)
Keyphrases
- support vector
- hierarchical structure
- hierarchical clustering algorithms
- hierarchical clustering
- clustering algorithm
- data sets
- feature selection
- database
- maximum margin
- feature vectors
- kernel function
- support vector machine svm
- data clustering
- multi class
- knn
- training support vector machines
- neural network
- multiresolution
- cluster analysis
- training set
- information retrieval
- generalization ability
- content based retrieval
- support vectors
- classification using support vector machines
- sparse kernel
- reduced set
- parameter free
- indexing scheme
- multi class classification
- hyperplane
- text retrieval
- svm classifier
- unsupervised learning
- feature set
- support vector machine
- data points
- data structure