A variable-selection heuristic for K-means clustering
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Volume (Year): 66 (2001)
Issue (Month): 2 (June)
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References listed on IDEAS
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- 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.
- Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer, vol. 2(1), pages 193-218, December.
- Glenn Milligan, 1989. "A validation study of a variable weighting algorithm for cluster analysis," Journal of Classification, Springer, vol. 6(1), pages 53-71, December.
- E. Fowlkes & R. Gnanadesikan & J. Kettenring, 1988. "Variable selection in clustering," Journal of Classification, Springer, vol. 5(2), pages 205-228, September.
- P. (Sundar) Balakrishnan & Martha Cooper & Varghese Jacob & Phillip Lewis, 1994. "A study of the classification capabilities of neural networks using unsupervised learning: A comparison withK-means clustering," Psychometrika, Springer, vol. 59(4), pages 509-525, December.
- Wayne DeSarbo & J. Carroll & Linda Clark & Paul Green, 1984. "Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables," Psychometrika, Springer, vol. 49(1), pages 57-78, March.
- Robert Saltstone & Ken Stange, 1996. "A computer program to calculate Hubert and Arabie's adjusted rand index," Journal of Classification, Springer, vol. 13(1), pages 169-172, March.
- Paul Green & Jonathan Kim & Frank Carmone, 1990. "A preliminary study of optimal variable weighting in k-means clustering," Journal of Classification, Springer, vol. 7(2), pages 271-285, September.
- Geert Soete, 1986. "Optimal variable weighting for ultrametric and additive tree clustering," Quality & Quantity: International Journal of Methodology, Springer, vol. 20(2), pages 169-180, June.
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