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.
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curl https://depscope.dev/api/check/conda/r-dicerFirst published · 2022-11-05 19:48:04.141000+00:00
Last updated · 2025-09-18 22:52:50.268000+00:00