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CCMMR (version 0.2)

Minimization of the Convex Clustering Loss Function

Description

Implements the convex clustering through majorization-minimization (CCMM) algorithm described in Touw, Groenen, and Terada (2022) to perform minimization of the convex clustering loss function.

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Install

install.packages('CCMMR')

Monthly Downloads

582

Version

0.2

License

GPL (>= 3)

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Maintainer

Daniel Touw

Last Published

December 21st, 2023

Functions in CCMMR (0.2)

as.hclust.cvxclust

Conversion of a cvxclust object into an hclust object
clusters

Obtain clustering from a clusterpath
two_half_moons

Two interlocking half moons data set
plot.cvxclust

Plot 2D clusterpath
convex_clusterpath

Minimize the convex clustering loss function
convex_clustering

Find a target number of clusters in the data using convex clustering
sparse_weights

Computation of sparse weight matrix