Minimum distance classification rules for high dimensional data
type: Item
instance of: scholarly article
title: Minimum distance classification rules for high dimensional data
zbMATH Open document ID: 1112.62060
published in: Journal of Multivariate Analysis
publication date: 2006-12-07T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 15A09
Mathematics Subject Classification ID: 62H10
zbMATH DE Number: 5078282
zbMATH Keywords: Fisher discriminant rule
zbMATH Keywords: misclassification error
zbMATH Keywords: Moore--Penrose inverse
zbMATH Keywords: multivariate normal
zbMATH Keywords: singular Wishart
author: Muni S. Srivastava
MaRDI profile type: Publication
full work available at URL: j.jmva.2005.09.014
OpenAlex ID: W2094086078
cites work: Q5842591
cites work: Probability inequalities and errors in classification
cites work: Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
cites work: Admissible Bayes Character of $T^2-, R^2-$, and Other Fully Invariant Tests for Classical Multivariate Normal Problems
cites work: Q3262608
cites work: An Asymptotic Expansion for the Distribution of the Linear Discriminant Function
cites work: Asymptotic expansion of the misclassification probabilities of D- and A- criteria for discrimination from two high dimensional populations using the theory of large dimensional random matrices
cites work: Classification into multivariate normal populations when the population means are linearly restricted
cites work: Q3150922
cites work: Multivariate Theory for Analyzing High Dimensional Data
cites work: Q3854462
cites work: On a Statistical Problem Arising in the Classification of an Individual into One of Two Groups
cites work: Variable Selection in High-Dimensional Multivariate Binary Data with Application to the Analysis of Microbial Community DNA Fingerprints
DOI: 10.1016/J.JMVA.2005.09.014
Recommended article: Q3749965
Recommended article: Interpoint Distance Classification of High Dimensional Discrete Observations
Recommended article: On the orthogonal distance to class subspaces for high-dimensional data classification
Recommended article: Classification in general finite dimensional spaces with the \(k\)-nearest neighbor rule
Recommended article: High-Dimensional Data Classification
Recommended article: Q5361286
Recommended article: Robust nearest-neighbor methods for classifying high-dimensional data
Recommended article: A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data
Recommended article: Learning distance to subspace for the nearest subspace methods in high-dimensional data classification
description: scientific article; zbMATH DE number 5078282