A validity-guided support vector clustering algorithm for identification of optimal cluster configuration.
Jen-Chieh ChiangJeen-Shing WangPublished in: SMC (4) (2004)
Keyphrases
- clustering algorithm
- support vector
- data clustering
- k means
- dynamic programming
- hierarchical clustering
- overlapping clusters
- clustering method
- support vector machine
- cluster analysis
- cross validation
- optimal configuration
- data points
- clustering framework
- arbitrary shape
- cluster centers
- generalization ability
- unsupervised clustering
- clustering approaches
- fuzzy clustering
- semi supervised
- document clustering
- cluster labels
- agglomerative hierarchical clustering
- partitional clustering