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An n-ary λ-averaging based similarity classifier

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Kurama O., Luukka P., Collan M.

International Journal of Applied Mathematics and Computer Science

2016

tom 26

nr 2

407-421

We introduce a new n-ary λ similarity classifier that is based on a new n-ary λ-averaging operator in the aggregation of similarities. This work is a natural extension of earlier research on similarity based classification in which aggregation is commonly performed by using the OWA-operator. So far λ-averaging has been used only in binary aggregation. Here the λ-averaging operator is extended to the n-ary aggregation case by using t-norms and t-conorms. We examine four different n-ary norms and test the new similarity classifier with five medical data sets. The new method seems to perform well when compared with the similarity classifier.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Collan M.

1 Kurama O.

1 Luukka P.

1 2016

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An n-ary λ-averaging based similarity classifier