Clustering of Data Represented by Pairwise Comparisons-Reference-Cited by-同舟云学术

Clustering of Data Represented by Pairwise Comparisons

Published:2022-09-01 Issue:3 Volume:51 Page:343-387
ISSN:2720-4278
Container-title:Control and Cybernetics
language:en
Short-container-title:

Author:

Dvoenko Sergey

Abstract

Abstract In this paper, experimental data, given in the form of pairwise comparisons, such as distances or similarities, are considered. Clustering algorithms for processing such data are developed based on the well-known k-means procedure. Relations to factor analysis are shown. The problems of improving clustering quality and of finding the proper number of clusters in the case of pairwise comparisons are considered. Illustrative examples are provided.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/candc-2022-0021

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