Clustering analysis and decision-making by ``ranks of links''
type: Item
instance of: scholarly article
title: Clustering analysis and decision-making by ``ranks of links''
zbMATH Open document ID: 1125.62325
DOI: 10.1080/10241230306729
author: Yanyan Li
published in: Mathematical Problems in Engineering
publication date: 2004-11-16T00:00:00Z
review text: Summary: In this paper, formalism for cluster analysis, based on the ``Rank of Links''-theory, is suggested. It tackles resemble measures, cross-distance matrices, ``rank of links''-metric and some other cluster characteristics. Using these notions, an algorithm of clustering has been designed. Its application to estimation and prognosis of decision-making process shows nice workability and reliability.
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62C99
zbMATH DE Number: 2116000
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1080/10241230306729
OpenAlex ID: W1983770612
description: scientific article; zbMATH DE number 2116000