Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables
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Bibliographic InfoArticle provided by Springer in its journal Psychometrika.
Volume (Year): 49 (1984)
Issue (Month): 1 (March)
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Web page: http://www.springerlink.com/link.asp?id=112911
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- Tsai, Chieh-Yuan & Chiu, Chuang-Cheng, 2008. "Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4658-4672, June.
- Stef Buuren & Willem Heiser, 1989. "Clusteringn objects intok groups under optimal scaling of variables," Psychometrika, Springer, vol. 54(4), pages 699-706, September.
- Geert Soete & Wayne DeSarbo & J. Carroll, 1985. "Optimal variable weighting for hierarchical clustering: An alternating least-squares algorithm," Journal of Classification, Springer, vol. 2(1), pages 173-192, December.
- Wayne DeSarbo & Richard Oliver & Arvind Rangaswamy, 1989. "A simulated annealing methodology for clusterwise linear regression," Psychometrika, Springer, vol. 54(4), pages 707-736, September.
- Balepur, Prashant Narayan, 1998. "Impacts of Computer-Mediated Communication on Travel and Communication Patterns: The Davis Community Network Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6cb1f85c, Institute of Transportation Studies, UC Berkeley.
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