Clustering and classification based on the L\(_{1}\) data depth
type: Item
instance of: scholarly article
title: Clustering and classification based on the L\(_{1}\) data depth
zbMATH Open document ID: 1047.62064
author: Rebecka Jörnsten
published in: Journal of Multivariate Analysis
publication date: 2004-08-16T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 2091264
zbMATH Keywords: Clustering
zbMATH Keywords: Classification
zbMATH Keywords: Data depth
zbMATH Keywords: Relative data depth
zbMATH Keywords: Leukemia
describes a project that uses: clusfind
MaRDI profile type: Publication
full work available at URL: j.jmva.2004.02.013
OpenAlex ID: W2014181044
cites work: Q1852478
cites work: Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
cites work: Finding Groups in Data
cites work: Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
cites work: Efficient scalar quantization of exponential and Laplacian random variables
cites work: A new partitioning around medoids algorithm
cites work: The multivariate L 1 -median and associated data depth
DOI: 10.1016/J.JMVA.2004.02.013
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description: scientific article; zbMATH DE number 2091264