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- Hans-Peter Kriegel
- Ludwig-Maximilians-Universität München, Munich, Germany
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- Peer Kröger
- Ludwig-Maximilians-Universität München, Munich, Germany
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- Arthur Zimek
- Ludwig-Maximilians-Universität München, Munich, Germany
書誌事項
- タイトル別名
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- A survey on subspace clustering, pattern-based clustering, and correlation clustering
説明
<jats:p>As a prolific research area in data mining, subspace clustering and related problems induced a vast quantity of proposed solutions. However, many publications compare a new proposition—if at all—with one or two competitors, or even with a so-called “naïve” ad hoc solution, but fail to clarify the exact problem definition. As a consequence, even if two solutions are thoroughly compared experimentally, it will often remain unclear whether both solutions tackle the same problem or, if they do, whether they agree in certain tacit assumptions and how such assumptions may influence the outcome of an algorithm. In this survey, we try to clarify: (i) the different problem definitions related to subspace clustering in general; (ii) the specific difficulties encountered in this field of research; (iii) the varying assumptions, heuristics, and intuitions forming the basis of different approaches; and (iv) how several prominent solutions tackle different problems.</jats:p>
収録刊行物
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- ACM Transactions on Knowledge Discovery from Data
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ACM Transactions on Knowledge Discovery from Data 3 (1), 1-58, 2009-03
Association for Computing Machinery (ACM)