Identifying genuine clusters in a classification
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Cited by:
- Bertrand, P. & Bel Mufti, G., 2006. "Loevinger's measures of rule quality for assessing cluster stability," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 992-1015, February.
- Remizov, Alexey & Memon, Shazim Ali & Kim, Jong R., 2024. "Novel building energy performance-based climate zoning enhanced with spatial constraint," Applied Energy, Elsevier, vol. 355(C).
- Park, P.J. & Manjourides, J. & Bonetti, M. & Pagano, M., 2009. "A permutation test for determining significance of clusters with applications to spatial and gene expression data," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4290-4300, October.
- Michael Greenacre, 2011.
"A Simple Permutation Test for Clusteredness,"
Working Papers
555, Barcelona School of Economics.
- Michael Greenacre, 2011. "A simple permutation test for clusteredness," Economics Working Papers 1271, Department of Economics and Business, Universitat Pompeu Fabra.
- Z. Volkovich & D. Toledano-Kitai & G.-W. Weber, 2013. "Self-learning K-means clustering: a global optimization approach," Journal of Global Optimization, Springer, vol. 56(2), pages 219-232, June.
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