Semi-supervised clustering with multi-viewpoint based similarity measure
The traditional (dis)similarity measure between a pair of data objects in a clustering method uses only a single viewpoint, which is usually the origin as the only reference point. Recently a novel multi-viewpoint based similarity (MVS) measure [1] has been proposed, which utilizes many different vi...
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Main Authors: | , , |
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格式: | Conference or Workshop Item |
語言: | English |
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2013
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在線閱讀: | https://hdl.handle.net/10356/97853 http://hdl.handle.net/10220/12397 |
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