Cross-Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi-Label Datasets-Reference-Cited by-同舟云学术

Cross-Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi-Label Datasets

Published:2020-08-11 Issue:5 Volume:1 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Tarekegn Adane Nega,Michalak Krzysztof,Giacobini Mario

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-020-00283-z.pdf

Reference43 articles.

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3. Caliñski T, Harabasz J. A Dendrite method foe cluster analysis. Commun Stat. 1974. https://doi.org/10.1080/03610927408827101.

4. Chakraborty S et al. Entropy regularized power k-means clustering. 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020), Palermo, Italy; 2020. http://arxiv.org/abs/2001.03452.

5. Chakraborty S, Das S. K-Means clustering with a new divergence-based distance metric: convergence and performance analysis. Pattern Recogn Lett. 2017. https://doi.org/10.1016/j.patrec.2017.09.025.

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