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iCVI MATLAB Toolbox

Incremental/Batch Cluster Validity Indices - Companion MATLAB Code:

• If you make use of this iCVI MATLAB Toolbox please cite the following paper

[1] L. E. Brito da Silva, N. M. Melton, and D. C. Wunsch II, "Incremental Cluster Validity Indices for Hard Partitions: Extensions and Comparative Study," ArXiv e-prints, Feb 2019, arXiv:1902.06711v1 [cs.LG].

and refer to this Applied Computational Intelligence Laboratory (ACIL) Github repository as

[2] L. E. Brito da Silva, N. M. Melton, and D. C. Wunsch II, "iCVI MATLAB Toolbox," 2019. [Online]. <br/>Available: https://github.com/ACIL-Group/iCVI-toolbox

• The data sets used in the experiments section of the paper mentioned above are available at:

1. UCI machine learning repository: <br/>http://archive.ics.uci.edu/ml

2. Fundamental Clustering Problems Suite (FCPS): <br/>https://www.uni-marburg.de/fb12/arbeitsgruppen/datenbionik/data?language_sync=1

3. Clustering basic benchmark and Other clustering datasets: <br/>http://cs.uef.fi/sipu/datasets

4. MATLAB processed data sets: <br/>http://www.cad.zju.edu.cn/home/dengcai/Data/MLData.html

• The figures depicting the behaviors of the iCVIs when correctly, under- and over-partitioning the data sets used in the experiments of the paper mentioned above can be downloaded from: <br/>https://drive.google.com/drive/folders/1WzGnBLgvGOkyf8z2UeeePpx8ywmuGZJB?usp=sharing

• The "main_incremental_CVIs_example.m" and "main_batch_CVIs_example.m" files contain examples of usage of the iCVI MATLAB Toolbox.