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cclust

Convex Clustering Methods and Clustering Indexes

Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.

Versions across snapshots

VersionRepositoryFileSize
0.6-27 rolling linux/jammy R-4.5 cclust_0.6-27.tar.gz 54.7 KiB
0.6-27 rolling linux/noble R-4.5 cclust_0.6-27.tar.gz 54.9 KiB
0.6-27 rolling source/ R- cclust_0.6-27.tar.gz 23.2 KiB
0.6-27 latest linux/jammy R-4.5 cclust_0.6-27.tar.gz 54.7 KiB
0.6-27 latest linux/noble R-4.5 cclust_0.6-27.tar.gz 54.9 KiB
0.6-27 latest source/ R- cclust_0.6-27.tar.gz 23.2 KiB
0.6-27 2026-04-26 source/ R- cclust_0.6-27.tar.gz 23.2 KiB
0.6-27 2026-04-23 source/ R- cclust_0.6-27.tar.gz 23.2 KiB
0.6-27 2026-04-09 windows/windows R-4.5 cclust_0.6-27.zip 62.6 KiB
0.6-26 2025-04-20 source/ R- cclust_0.6-26.tar.gz 12.2 KiB

Dependencies (latest)

Imports