International Journal of Mathematics Trends and Technology
Volume 52 | Number 6 | Year 2017 | Article Id. IJMTT-V52P560 | DOI : https://doi.org/10.14445/22315373/IJMTT-V52P560
Gram-Schmidt Orthonormalization (GSO) Euclidean vectors based depth function is proposed to compute projection depth. The performance of GSO algorithm has been studied with exact and approximate algorithms, used in the associated estimator namelyStahel-Donoho (S-D) location and scatter estimators, for bivariate data.The efficiency of GSO algorithm is checked out by computing average misclassification error in discriminant analysis under real and stimulatingenvironment. The study concludesthat GSO algorithm based projection depth estimators performs well when compared with exact and approximate algorithms.
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Muthukrishnan R, Vadivel M, Ramkumar N, "Gram–Schmidt Orthonormalization based Projection Depth," International Journal of Mathematics Trends and Technology (IJMTT), vol. 52, no. 6, pp. 430-434, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V52P560
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