Depth-based Classification for Multivariate Data


  • Ondřej Vencálek Palacký University in Olomouc



Concept of data depth provides one possible approach to the analysis of multivariate data.
Among other it can be also used for classification purposes. The present paper is an overview of the research in the field of depth-based classification for multivariate data.
It provides a short summary of current state of knowledge in the field of depth-based classification followed by detailed discussion of four main directions in the depth-based classification, namely semiparametric depth-based classifiers, maximal depth classifier, (maximal depth) classifiers which use local depth functions and finally advanced depth-based classifiers.
We do not restrict our attention only on proposed classifiers. The paper rather aims to overview the ideas connected with depth-based classification and problems that were discussed in this context.


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How to Cite

Vencálek, O. (2017). Depth-based Classification for Multivariate Data. Austrian Journal of Statistics, 46(3-4), 117-128.