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alinetalhouk
diceR:Diverse Cluster Ensemble in R
Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) <doi:10.1186/s12859-017-1996-y>. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.
Maintained by Derek Chiu. Last updated 2 months ago.
37 stars 8.13 score 60 scripts 3 dependents
cran
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.
Maintained by Hanwen Huang. Last updated 3 years ago.
2.38 score 2 dependents