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- W3088822725 abstract "This paper introduces new similarity classifiers using the Heronian mean, and the generalized Heronian mean operators.We examine the use of these operators at the aggregation step within the similarity classifier. The similarity classifier was earlier studied with other operators, in particular with an arithmetic mean, generalized mean, OWA operators, andmany more. The two classifiers here are tested on four real world data sets, i.e., echocardiogram, fertility, horse-colic, and lung cancer. Three previously studied similarity classifiers are used as benchmarks to the new approaches. Weobserve that the similarity classier with a generalized Heronian mean produces good classication results for the tested data sets, and is therefore more suitable for use in these classification problems." @default.
- W3088822725 created "2020-10-01" @default.
- W3088822725 creator A5017898726 @default.
- W3088822725 date "2020-04-22" @default.
- W3088822725 modified "2023-09-23" @default.
- W3088822725 title "(1901-4946) On the use of Heronian means in a similarity classifier" @default.
- W3088822725 doi "https://doi.org/10.22111/ijfs.2020.5338" @default.
- W3088822725 hasPublicationYear "2020" @default.
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