Article,

Comparison of methods for detecting oultiers

, and .
International Journal of Scientific and Engineering Research, 4 (9): 709-714 (September 2013)

Abstract

An outlier is an observations which deviates or far away from the rest of data. There are two kinds of outlier methods, tests discordance and labeling methods. In this paper, we have considered the medical diagnosis data set finding outlier with discordancy test and comparing the performance of outlier detection. Most of the outlier detection methods considered as extreme value is an outlier. In some cases of outlier detection methods no need to use statistical table. The suggested outlier detection methods using the context of detection sensitivity and difficulties of analyzing performance for outlier detections are compared.

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