bootcluster

Implementation of the bootstrapping approach for the estimation of clustering stability and its application in estimating the number of clusters, as introduced by Yu et al (2016)[https://doi.org/10.1142%2F9789814749411_0007]. Implementation of the non-parametric bootstrap approach to assessing the stability of module detection in a graph, the extension for the selection of a parameter set that defines a graph from data in a way that optimizes stability and the corresponding visualization functions, as introduced by Tian et al (2021) [https://doi.org/10.1002%2Fsam.11495]. Implemented out-of-bag stability estimation function and k-select Smin-based k-selection function as introduced by Liu et al (2022) [https://doi.org/10.1002%2Fsam.11593]. Implemented ensemble clustering method based-on k-means clustering method, spectral clustering method and hierarchical clustering method.

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