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qcluster

Clustering via Quadratic Scoring

Performs tuning of clustering models, methods and algorithms including the problem of determining an appropriate number of clusters. Validation of cluster analysis results is performed via quadratic scoring using resampling methods, as in Coraggio, L. and Coretto, P. (2023) <doi:10.1016/j.jmva.2023.105181>.

Versions across snapshots

VersionRepositoryFileSize
2.0.0 rolling linux/jammy R-4.5 qcluster_2.0.0.tar.gz 248.2 KiB
2.0.0 rolling linux/noble R-4.5 qcluster_2.0.0.tar.gz 250.0 KiB
2.0.0 rolling source/ R- qcluster_2.0.0.tar.gz 93.0 KiB
2.0.0 latest linux/jammy R-4.5 qcluster_2.0.0.tar.gz 248.2 KiB
2.0.0 latest linux/noble R-4.5 qcluster_2.0.0.tar.gz 250.0 KiB
2.0.0 latest source/ R- qcluster_2.0.0.tar.gz 93.0 KiB
2.0.0 2026-04-26 source/ R- qcluster_2.0.0.tar.gz 93.0 KiB
2.0.0 2026-04-23 source/ R- qcluster_2.0.0.tar.gz 93.0 KiB
1.2.1 2026-04-09 windows/windows R-4.5 qcluster_1.2.1.zip 230.5 KiB
1.2.1 2025-04-20 source/ R- qcluster_1.2.1.tar.gz 62.3 KiB

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