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Are Cluster Validity Measures (In)valid? — Supplementary Material

Code repository (R package CVI) related to the paper M. Gagolewski, M. Bartoszuk, A. Cena, Are Cluster Validity Measures (In)valid?, Information Sciences 581:620-636, 2021, doi:10.1016/j.ins.2021.10.004.

Note that the cluster validity measures discussed in this paper are also avaliable in the genieclust package for Python and R (since version 1.1.0).

Maintainer: Marek Gagolewski

Authors:

Quality assurance: tested against R packages clusterCrit and clusterSim.

Our functions are 2-100x faster, especially when computing cluster validity indices for the same data matrix but different label vectors.

License

Copyleft (C) 2020-2022, Marek Gagolewski https://www.gagolewski.com

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License Version 3, 19 November 2007, published by the Free Software Foundation.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License Version 3 for more details. You should have received a copy of the License along with this program. If this is not the case, refer to https://www.gnu.org/licenses/.

See the LICENSE file for more details.

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