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Secondly, the segmentation of the cardiac ischemia region was performed by using Fuzzy Clustering method.
The number of operating points and their locations are determined automatically by using fuzzy clustering to capture characteristic patterns in the aerodynamic model throughout the flight envelope.
When fuzzy systems are designed by using fuzzy clustering, each cluster corresponds to a fuzzy rule.
Enhancing contrast by using fuzzy clustering allows to define the contours of the lesion correctly.
With the contrast enhancement by using fuzzy clustering an output that adequately defines the contours of the lesions is obtained.
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We further clustered differentially expressed genes using Fuzzy clustering by local approximation of membership algorithm [ 87] with parameter setting -KNN: 7; Max App: 500; Membership Range: 35%.
In order to develop fuzzy models, using fuzzy clustering techniques for parameter identification, the model structure given by equation (6) was used.
Direct and inverse multivariable fuzzy models can be identified directly from data using fuzzy clustering.
The reason for using fuzzy clustering and not crisp clustering is to reveal uncertainties in the cluster assignments [24].
Making the contrast enhancement using fuzzy clustering we can obtain an output that adequately defines the contours of the lesion.
In the second level, the output nodes of SOFM are clustered by using Fuzzy c-means algorithm to form regions for flood frequency analysis (FFA).
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