Journal
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Volume 27, Issue 3, Pages 461-464Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TPAMI.2005.47
Keywords
clustering; unsupervised learning method; support vector machines
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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.
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