On the orthogonal distance to class subspaces for high-dimensional data classification
type: Item
instance of: scholarly article
title: On the orthogonal distance to class subspaces for high-dimensional data classification
zbMATH Open document ID: 1435.62257
author: Rui Zhu
author: Jing-Hao Xue
published in: Information Sciences
publication date: 2020-07-02T00:00:00Z
full work available at URL: RuiZhu-INS-2017-UCL.pdf
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62H25
zbMATH DE Number: 7216937
zbMATH Keywords: classification
zbMATH Keywords: high-dimensional data
zbMATH Keywords: orthogonal distance
zbMATH Keywords: principal component analysis (PCA)
zbMATH Keywords: soft independent modelling of class analogy (SIMCA)
describes a project that uses: chemCal
MaRDI profile type: Publication
OpenAlex ID: W2735051402
cites work: Nonparametric functional data analysis. Theory and practice.
cites work: Fast semi-supervised clustering with enhanced spectral embedding
cites work: Global discriminative-based nonnegative spectral clustering
cites work: Pattern recognition by means of disjoint principal components models
DOI: 10.1016/J.INS.2017.07.019
description: scientific article; zbMATH DE number 7216937