4   Artículos

 
en línea
Chan-Uk Yeom and Keun-Chang Kwak    
In this paper, we propose context-based GK clustering and design a CGK-based granular model and a hierarchical CGK-based granular model. Existing fuzzy clustering generates clusters using Euclidean distances. However, there is a problem in that performan... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chan-Uk Yeom and Keun-Chang Kwak    
We propose an adaptive neuro-fuzzy inference system (ANFIS) with an incremental tree structure based on a context-based fuzzy C-means (CFCM) clustering process. ANFIS is a combination of a neural network with the ability to learn, adapt and compute, and ... ver más
Revista: Applied Sciences    Formato: Electrónico

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