Estimating the number of clusters in a ranking data context
type: Item
instance of: scholarly article
title: Estimating the number of clusters in a ranking data context
zbMATH Open document ID: 1475.62179
author: Wilson Calmon
author: Mariana Albi
published in: Information Sciences
publication date: 2021-12-01T00:00:00Z
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 7436893
zbMATH Keywords: number of clusters
zbMATH Keywords: ranking data
zbMATH Keywords: Plackett-Luce
zbMATH Keywords: clustering
zbMATH Keywords: ordinal classification
describes a project that uses: Silhouettes
describes a project that uses: ISLR
MaRDI profile type: Publication
full work available at URL: j.ins.2020.09.056
OpenAlex ID: W3091268232
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DOI: 10.1016/J.INS.2020.09.056
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description: scientific article; zbMATH DE number 7436893