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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>.
Getting started
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Package details |
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| Author | Luca Coraggio [cre, aut] (Homepage: <https://luca-coraggio.com>), Pietro Coretto [aut] (Homepage: <https://pietro-coretto.github.io>) |
| Maintainer | Luca Coraggio <luca.coraggio@unina.it> |
| License | GPL (>= 2) |
| Version | 1.2.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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