Automated weighted outlier detection technique for multivariate data
نویسندگان
چکیده
منابع مشابه
Outlier Detection in Multivariate Data
The objective of this research is detection of outliers in multivariate data employing various distance measure, particularly using robust regression diagnosis technique. Several classical outlier identification methods are based on the sample mean and covariance matrix in general. But they do not always yield better result, as they themselves are affected by the outliers. Sometimes one outlier...
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Multivariate outlier detection is usually based on Mahalanobis distances, by plugging in robust estimates of location and covariance. For compositional data, carrying only relative information, a special transformation needs to be consulted in order to be able to work in the appropriate geometry. The effect of the transformation is discussed in this contribution. Furthermore, different possibil...
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ژورنال
عنوان ژورنال: Control Engineering Practice
سال: 2018
ISSN: 0967-0661
DOI: 10.1016/j.conengprac.2017.09.018