sigclust: Statistical Significance of Clustering. SigClust is a statistical method for testing the significance of clustering results. SigClust can be applied to assess the statistical significance of splitting a data set into two clusters. For more than two clusters, SigClust can be used iteratively.
Keywords for this software
References in zbMATH (referenced in 6 articles )
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- Qiao, Xingye; Zhang, Lingsong: Flexible high-dimensional classification machines and their asymptotic properties (2015)
- Lee, Myung Hee: On the border of extreme and mild spiked models in the HDLSS framework (2012)
- Krzanowski, Wojtek J.; Hand, David J.: A simple method for screening variables before clustering microarray data (2009)
- Liu, Yufeng; Hayes, David Neil; Nobel, Andrew; Marron, J.S.: Statistical significance of clustering for high-dimension, low-sample size data (2008)