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Hybrid k-Means: Combining Regression-Wise and Centroid-Based Criteria for QSAR.
- Source :
- Selected Contributions in Data Analysis & Classification; 2007, p225-233, 9p
- Publication Year :
- 2007
-
Abstract
- This paper further extends the ‘kernel'-based approach to clustering proposed by E. Diday in early 70s. According to this approach, a cluster's centroid can be represented by parameters of any analytical model, such as linear regression equation, built over the cluster. We address the problem of producing regression-wise clusters to be separated in the input variable space by building a hybrid clustering criterion that combines the regression-wise clustering criterion with the conventional centroid-based one. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540735588
- Database :
- Supplemental Index
- Journal :
- Selected Contributions in Data Analysis & Classification
- Publication Type :
- Book
- Accession number :
- 33315437
- Full Text :
- https://doi.org/10.1007/978-3-540-73560-1_21