clustRviz

Interactive Visualizations and Fast Computation for Convex Clustering

Michael Weylandt https://michaelweylandt.github.io (Department of Statistics, Rice University) , John Nagorski (Department of Statistics, Rice University) , Genevera I. Allen https://genevera.rice.edu (Departments of Statistics, Electrical & Computer Engineering, and Computer Science, Rice University)

The clustRviz R package implements the CARP and CBASS algorithms for computing the entire convex clustering solution path. In addition to the path-wise solvers, the package also implements efficient algorithms for solving the convex clustering and bi-clustering problems at a fixed grid of penalty parameters. The package also implements a novel method for simultaneous clustering and imputation, making it one of the few pieces of clustering software that can trnasparently handle missing values.

Direct Link: http://github.com/DataSlingers/clustRviz

Package Documentation: https://DataSlingers.github.io/clustRviz/

Related Publications: Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization