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BayesiaLabBayesiaLab User GuideMenusToolsResamplingVariable Clustering

Variable Clustering

Overview

This feature is used to measure the stability of the groups of variables that have been induced with Variable Clustering. Various data sets are generated from the original data set with one of the resampling methods, then Unsupervised Structural Learning and Variable Clustering are run iteratively on each data set, and the obtained clusters are compared with those of the current network.

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The Variable Clustering Report returns a color-coded Node Association Frequencies table together with overall and local purities for each cluster and each node, and the Variable Clustering Graph includes a frequency filter slider that hides connections below a chosen threshold.

Data PerturbationJackknife