Compactness and Separateness Driven Fuzzy Clustering Validity Index Called TLW
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9640-7_13
Reference25 articles.
1. Tang, Y.M., Pan, Z.F., Pedrycz, W., Ren, F.J., Song, X.C.: Viewpoint-based kernel fuzzy clustering with weight information granules. IEEE Trans. Emerg. Top. Comput. Intell. 7(2), 342–356 (2023)
2. Tang, Y.M., Ren, F.J., Pedrycz, W.: Fuzzy C-means clustering through SSIM and patch for image segmentation. Appl. Soft Comput. 87, 105928, 1–16 (2020)
3. Tang, Y.M., Li, L., Liu, X.P.: State-of-the-art development of complex systems and their simulation methods. Complex Syst. Model. Simulat. 1(4), 271–290 (2021)
4. Tang, Y.M., Huang, J.J., Pedrycz, W., et al.: A fuzzy cluster validity index induced by triple center relation. IEEE Trans. Cybernet. 53(8), 5024–5036 (2023)
5. Wu, C.H., Ouyang, C.S., Chen, L.W., et al.: A new fuzzy clustering validity index with a median factor for centroid-based clustering. IEEE Trans. Fuzzy Syst. 23(3), 701–718 (2014)
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