Abstract
Clustering with advice (often known as constrained clustering) has been a recent focus of the data mining community. Success has been achieved incorporating advice into the k-means and spectral clustering frameworks. Although the theory community has explored inconsistent advice, it has not yet been incorporated into spectral clustering. Extending work of De Bie and Cristianini, we set out a framework for finding minimum normalised cuts, subject to inconsistent advice.
Original language | English |
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Title of host publication | Proceedings of the 25th International Conference on Machine Learning |
Pages | 152-159 |
Number of pages | 8 |
Publication status | Published - 2008 |
Externally published | Yes |
Event | International Conference on Machine Learning 2008 - Helsinki, Finland Duration: 5 Jul 2008 → 9 Jul 2008 Conference number: 25th https://icml.cc/Conferences/2008/ |
Conference
Conference | International Conference on Machine Learning 2008 |
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Abbreviated title | ICML 2008 |
Country/Territory | Finland |
City | Helsinki |
Period | 5/07/08 → 9/07/08 |
Internet address |