EMCOD

Version 1.0 (34.6 KB) by Liangxiao Zhang
An enhanced Monte-Carlo outlier detection method
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Updated 8 Jul 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.

Cite As

Liangxiao Zhang (2024). EMCOD (https://www.mathworks.com/matlabcentral/fileexchange/52023-emcod), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011a
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emcod/

Version Published Release Notes
1.0

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

0