Cargando…
Hybrid Fuzzy Clustering Method Based on FCM and Enhanced Logarithmical PSO (ELPSO)
Fuzzy c-means (FCM) is one of the best-known clustering methods to organize the wide variety of datasets automatically and acquire accurate classification, but it has a tendency to fall into local minima. For overcoming these weaknesses, some methods that hybridize PSO and FCM for clustering have be...
Autores principales: | Zhang, Jian, Ma, Zongheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104327/ https://www.ncbi.nlm.nih.gov/pubmed/32256549 http://dx.doi.org/10.1155/2020/1386839 |
Ejemplares similares
-
An Improved Fuzzy c-Means Clustering Algorithm Based on Shadowed Sets and PSO
por: Zhang, Jian, et al.
Publicado: (2014) -
Segmentation and Classification of Encephalon Tumor by Applying Improved Fast and Robust FCM Algorithm with PSO-Based ELM Technique
por: Mohapatra, Srikanta Kumar, et al.
Publicado: (2022) -
Optimization of fuzzy c-means (FCM) clustering in cytology image segmentation using the gray wolf algorithm
por: Mohammdian-khoshnoud, Maryam, et al.
Publicado: (2022) -
Network Security Situation Prediction Model Based on EMD and ELPSO Optimized BiGRU Neural Network
por: Zhang, Biao, et al.
Publicado: (2022) -
Logo Detection Based on FCM Clustering Algorithm and Texture Features
por: Zaaboub, Wala, et al.
Publicado: (2020)