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cvxclustr (version 1.1.1)

Splitting methods for convex clustering

Description

Alternating Minimization Algorithm (AMA) and Alternating Direction Method of Multipliers (ADMM) splitting methods for convex clustering.

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Version

Install

install.packages('cvxclustr')

Monthly Downloads

33

Version

1.1.1

License

CC BY-NC-SA 4.0

Maintainer

Eric Chi

Last Published

July 28th, 2014

Functions in cvxclustr (1.1.1)

find_clusters

Find clusters
cvxclust_path_ama

Convex Clustering Path via AMA
kernel_weights

Compute Gaussian Kernel Weights
cvxclust

Convex Clustering Path via Variable Splitting Methods
mammals

Tally of types of teeth in some mammals.
compactify_edges

Construct indices matrices
cvxclust_admm

Convex clustering via ADMM
create_clustering_problem

Create a random clustering problem
weights_graph

Weights Graph Adjacency Matrix
cvxclustr

Convex Clustering via Splitting Methods
AMA_step_size

Compute step size Anderson-Morely upper bound on the largest eigenvalue of the Laplacian
cvxclust_path_admm

Convex Clustering Path via ADMM
knn_weights

"Thin" a weight vector to be positive only for its k-nearest neighbors
cvxclust_ama

Convex clustering via AMA
create_adjacency

Create adjacency matrix from V