The Mahalanobis Distance for Functional Data With Applications to Classification
نویسندگان
چکیده
منابع مشابه
The Mahalanobis Distance for Functional Data With Applications to Classification
This paper presents a general notion of Mahalanobis distance for functional data that extends the classical multivariate concept to situations where the observed data are points belonging to curves generated by a stochastic process. More precisely, a new semi-distance for functional observations that generalize the usual Mahalanobis distance for multivariate datasets is introduced. For that, th...
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ژورنال
عنوان ژورنال: Technometrics
سال: 2015
ISSN: 0040-1706,1537-2723
DOI: 10.1080/00401706.2014.902774