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Hybrid Fuzzy C-Means Clustering Algorithm, Improving Solution Quality and Reducing Computational Complexity

Fuzzy C-Means is a clustering algorithm widely used in many applications. However, its computational complexity is very large, which prevents its use for large problem instances. Therefore, a hybrid improvement is proposed for the algorithm, which considerably reduces the number of iterations and, i...

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Principais autores: Joaquín Pérez-Ortega, Carlos Fernando Moreno-Calderón, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Juan Frausto-Solís, Rodolfo Pazos-Rangel, Alicia Martínez-Rebollar
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-08-01
Serier:Axioms
Fag:
computational complexity
convergence
efficiency
Fuzzy C-Means
hybrid clustering algorithm
initialization
Online adgang:https://www.mdpi.com/2075-1680/13/9/592
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