A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization
This paper presents a new algorithm for fuzzy c-regression model clustering. The proposed methodology is based on adding a second regularization term in the objective function of a Fuzzy C-Regression Model (FCRM) clustering algorithm in order to take into account noisy data. In addition, a new error...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2012-09-01
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Series: | International Journal of Applied Mathematics and Computer Science |
Subjects: | |
Online Access: | https://doi.org/10.2478/v10006-012-0047-0 |