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| Titel: |
Clustering with feature order preferences |
| Auteur: |
Sun, Jun Zhao, Wenbo Xue, Jiangwei Shen, Zhiyong Shen, Yidong |
| Verschenen in: |
Intelligent data analysis |
| Paginering: | Jaargang 14 (2010) nr. 4 pagina's 479-495 |
| Jaar: |
2010-07-26 |
| Inhoud: |
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulation aims to incorporate feature order preferences into prototype-based clustering. The derived algorithm automatically learns distortion measures parameterized by feature weights which will respect the feature order preferences as much as possible. Our method allows the use of a broad range of distortion measures such as Bregman divergences. Moreover, even when generalized entropy is used in the regularization term, the subproblem of learning the feature weights is still a convex programming problem. Empirical results on some datasets demonstrate the effectiveness and potential of our method. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 1 van 6 gevonden artikelen
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