clustRviz

Interactive Visualizations and Fast Computation for Convex Clustering

Authors

Affiliations

Michael Weylandt

Department of Statistics, Rice University

John Nagorski

Department of Statistics, Rice University

Genevera I. Allen

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