Inner matrix norms in evolving Cauchy possibilistic clustering for classification and regression from data streams

Information Sciences, pp. 540-563, 2019.

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Abstract:

•A generalized novel evolving possibilistic Cauchy clustering is presented that works in an online manner on a stream of data.•As oppose to some evolving algorithms the presented approach has only few tuning parameters.•The proposed clustering is tested on different benchmark problems and compared to other algorithms.•The obtained results...More

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