Hybrid clustering algorithm based on ISFLA and PFCM with application to UBSS

To improve the sensitivity to initial values, poor robustness, and easy to fall into local extreme values in traditional fuzzy clustering algorithms, a hybrid clustering algorithm coming to the improved Shuffled Frog Leaping Algorithm (SFLA) and Possibility fuzzy C-means (PFCM) clustering algorithm...

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Vydané v:	Chinese Control and Decision Conference s. 462 - 468
Hlavní autori:	Kui, Xia, Wei, Li, Jing, Wang, Xinrui, Hong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 15.08.2022
Predmet:	Blind source separation Clustering algorithms Estimation Gaussian random walk Improved Shuffled Frog Leaping Algorithm Learning systems Mixed matrix estimation Probability fuzzy C-mean Robustness Simulation Sociology Underdetermined Blind Source Separation
ISSN:	1948-9447
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