VSClust is a powerful app that employs a new method to apply fuzzy c-means clustering to data sets that exhibit non-constant variance of their features. The individual variation is incorporated into the estimation of the fuzzifier (parameter m). For details see - Veit Schwämmle, Ole N Jensen; VSClust: Feature-based variance-sensitive clustering of omics data, Bioinformatics, 2018, bty224, https://doi.org/10.1093/bioinformatics/bty224 The algorithm for the estimation of the parameters fuzzifier and cluster numbers is furthermore based on - Schwämmle, V. and Jensen, O. N. "A simple and fast method to determine the parameters for fuzzy c-means cluster analysis". Bioinformatics, 2010, 26, 2841-2848. Note that this method reveals its power for 8 or more different conditions (dimensions). Lower numbers yields results nearly identical to standard fuzzy c-means clustering.

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.

No application notes or reviews.