In jjn13/clustRviz: Convex Clustering and Bi-Clustering via Algorithmic Regularization

The computational core of clustRviz is written in standard modern C++ [@CppStandard:11], using the Eigen3 library for numerical linear algebra [@Eigen3] and the Rcpp [@Eddelbuettel:2011] and RcppEigen [@Bates:2013] libraries to interface with R [@R].

The graphical components of clustRviz depend on several publicly available R packages, including:

• the dendextend package [@Galili:2015] which is used for dendrogram construction and manipulation;
• the ggplot2 [@Wickham:2016] and gganimate [@Pedersen:2019] packages which are used for path visualizations;
• the plotly [@Sievert:2020] package which is used for interactive dendrograms and path plots; and
• the heatmaply [@Galili:2018] package which is used for export of interactive cluster heatmaps based on CARP and CBASS results

We are grateful to the authors of each of these packages for making their software freely available.

References

jjn13/clustRviz documentation built on Sept. 1, 2020, 7:53 a.m.