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On maximum depth classifiers: depth distribution approach.
- Source :
-
Journal of Applied Statistics . May2018, Vol. 45 Issue 6, p1106-1117. 12p. 2 Charts, 4 Graphs. - Publication Year :
- 2018
-
Abstract
- In this paper, we consider the notions of data depth for ordering multivariate data and propose a classification rule based on the distribution of some depth functions in <inline-graphic></inline-graphic>. The equivalence of the proposed classification rule to optimal Bayes rule is discussed under suitable conditions. The performance of the proposed classification method is investigated in low- and high-dimensional setting using real datasets. Also, the performance of the proposed classification method is illustrated in comparison to some other depth-based classifiers using simulated data sets. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02664763
- Volume :
- 45
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Journal of Applied Statistics
- Publication Type :
- Academic Journal
- Accession number :
- 128502388
- Full Text :
- https://doi.org/10.1080/02664763.2017.1342783