Applying the Mahalanobis-Taguchi System to Identify Outliers in Multidimensional Systems

Abstract

The Mahalanobis Taguchi System is a diagnosis and forecasting method for multivariate data. Mahalanobis Distance is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. in multidimensional systems, outliers may be difficult to identify in the primal space, when many factors are correlated. using the Mahalanobis-Taguchi System, trends can be identified in the transformed Mahalanobis Space and outliers become apparent. This paper presents the application of the Mahalanobis-Taguchi System and its application to identify outliers in multidimensional systems and a comparison of results with those obtained from a standard statistical approach to the problem.

Department(s)

Engineering Management and Systems Engineering

Second Department

Mathematics and Statistics

Keywords and Phrases

Mahalanobis distance; Multivariate; Pattern recognition

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Scimago Journal & Country Rank, All rights reserved.

Publication Date

01 Dec 2006

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