Decision and classification problems using Mahalanobis statistical distance

We present a method that uses Mahalanobis distance to study some decision and classification problems. Four examples are used to show the diversity of possible applications of our method. Based on two simulated sets of data, we have calculated the corresponding Mahalanobis distances and their sum an...

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Published in2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Vol. 2; pp. 1012 - 1016
Main Authors Criado, C., Alamo, N., Rabal, H., Cap, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
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Abstract We present a method that uses Mahalanobis distance to study some decision and classification problems. Four examples are used to show the diversity of possible applications of our method. Based on two simulated sets of data, we have calculated the corresponding Mahalanobis distances and their sum and differences Holodiagrams. These diagrams are valuable visualization tools for studying decision and classification problems in the proposed applications.
AbstractList We present a method that uses Mahalanobis distance to study some decision and classification problems. Four examples are used to show the diversity of possible applications of our method. Based on two simulated sets of data, we have calculated the corresponding Mahalanobis distances and their sum and differences Holodiagrams. These diagrams are valuable visualization tools for studying decision and classification problems in the proposed applications.
Author Alamo, N.
Cap, N.
Rabal, H.
Criado, C.
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  surname: Cap
  fullname: Cap, N.
  organization: Centro de Investig. Opticas, Univ. Nac. de la Plata, La Plata, Argentina
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Snippet We present a method that uses Mahalanobis distance to study some decision and classification problems. Four examples are used to show the diversity of possible...
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StartPage 1012
SubjectTerms Classification
Companies
Correlation
Decision analysis
Gaussian distribution
Holodiagram
Investments
Magnetohydrodynamics
Mahalanobis distance
Pharmaceuticals
Sensitivity
Title Decision and classification problems using Mahalanobis statistical distance
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Volume 2
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