An improved cluster labeling method for support vector clustering
SCIE
SCOPUS
- Title
- An improved cluster labeling method for support vector clustering
- Authors
- Lee, J; Lee, D
- Date Issued
- 2005-03
- Publisher
- IEEE COMPUTER SOC
- Abstract
- The support vector clustering (SVC) algorithm is a recently emerged unsupervised learning method inspired by support vector machines. One key step involved in the SVC algorithm is the cluster assignment of each data point. A new cluster labeling method for SVC is developed based on some invariant topological properties of a trained kernel radius function. Benchmark results show that the proposed method outperforms previously reported labeling techniques.
- Keywords
- clustering; unsupervised learning method; support vector machines
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/24826
- DOI
- 10.1109/TPAMI.2005.47
- ISSN
- 0162-8828
- Article Type
- Article
- Citation
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 27, no. 3, page. 461 - 464, 2005-03
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