A permutation test for determining significance of clusters with applications to spatial and gene expression data
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References listed on IDEAS
- Gordon, A. D., 1994. "Identifying genuine clusters in a classification," Computational Statistics & Data Analysis, Elsevier, vol. 18(5), pages 561-581, December.
- Glenn Milligan & Richard Cheng, 1996. "Measuring the influence of individual data points in a cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 315-335, September.
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Cited by:
- Dario Bruzzese & Domenico Vistocco, 2015. "DESPOTA: DEndrogram Slicing through a PemutatiOn Test Approach," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 285-304, July.
- Bongiorno, Christian & Miccichè, Salvatore & Mantegna, Rosario N., 2022.
"Statistically validated hierarchical clustering: Nested partitions in hierarchical trees,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
- Christian Bongiorno & Salvatore Miccichè & Rosario N Mantegna, 2022. "Statistically validated hierarchical clustering: Nested partitions in hierarchical trees," Post-Print hal-02157744, HAL.
- Christian Haedo & Michel Mouchart, 2022. "Two-mode clustering through profiles of regions and sectors," Empirical Economics, Springer, vol. 63(4), pages 1971-1996, October.
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