Order-Constrained Solutions in K-Means Clustering: Even Better Than Being Globally Optimal
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Bibliographic InfoArticle provided by Springer in its journal Psychometrika.
Volume (Year): 73 (2008)
Issue (Month): 4 (December)
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Web page: http://www.springerlink.com/link.asp?id=112911
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Pacheco, Joaquin & Valencia, Olga, 2003. "Design of hybrids for the minimum sum-of-squares clustering problem," Computational Statistics & Data Analysis, Elsevier, vol. 43(2), pages 235-248, June.
- Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer, vol. 45(3), pages 325-342, September.
- Michael Brusco & Stephanie Stahl, 2001. "Compact integer-programming models for extracting subsets of stimuli from confusion matrices," Psychometrika, Springer, vol. 66(3), pages 405-419, September.
- Glenn Milligan & Martha Cooper, 1988. "A study of standardization of variables in cluster analysis," Journal of Classification, Springer, vol. 5(2), pages 181-204, September.
- Sebastian Krey & Uwe Ligges & Friedrich Leisch, 2014. "Music and timbre segmentation by recursive constrained K-means clustering," Computational Statistics, Springer, vol. 29(1), pages 37-50, February.
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