Evaluation of the Quality of Fuzzy Clustering of Complex-Valued Data
The article discusses fuzzy clustering of complexvalued data and methods for evaluating the quality of fuzzy clustering to determine the optimal number of clusters: Xie-Beni index, fuzzy simplified silhouette index, Kwon index, Tang-Sun-Sun index. Based on the evaluation, the optimal number of clusters was determined for the C-Shell and Gustafson-Kessel methods. The results of the study are presented in the form of tables and graphs. The conclusion is made about the work done/
Authors
- Irina Sedykh (ORCID: https://orcid.org/0000-0003-0012-8103)
- Kirill Nikolaevich Makarov
Institutions
- Lipetsk State Technical University (RU)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/summa64428.2024.10803809
- Primary Topic
- Advanced Clustering Algorithms Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00