flexclust (version 1.4-1)

Flexible Cluster Algorithms

Description

The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.

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Install

install.packages('flexclust')

Monthly Downloads

5,647

Version

1.4-1

License

GPL-2

Last Published

April 8th, 2022

Functions in flexclust (1.4-1)