Fuzzy relational classifier trained by fuzzy clustering

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چکیده

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Fuzzy relational classifier trained by fuzzy clustering

A novel approach to nonlinear classification is presented, in the training phase of the classifier, the training data is first clustered in an unsupervised way by fuzzy c-means or a similar algorithm. The class labels are not used in this step. Then, a fuzzy relation between the clusters and the class identifiers is computed. This approach allows the number of prototypes to be independent of th...

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ژورنال

عنوان ژورنال: IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)

سال: 1999

ISSN: 1083-4419

DOI: 10.1109/3477.790444