EMCOD

An enhanced Monte-Carlo outlier detection method
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Aggiornato 8 lug 2015

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Outlier detection is crucial in building a highly predictive model. In this study, we proposed an enhanced Monte-Carlo outlier detection (EMCOD) method by establishing cross-prediction models based on determinate normal samples and analyzing the distribution of prediction errors individually for dubious samples.

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Liangxiao Zhang (2025). EMCOD (https://it.mathworks.com/matlabcentral/fileexchange/52023-emcod), MATLAB Central File Exchange. Recuperato .

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Versione Pubblicato Note della release
1.0

2015-07-08 in Canada
2015-07-08

0