基于Kemeny距离的偏好数据鲁棒模糊聚类

IF 1.8 4区计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Classification Pub Date : 2022-10-07 DOI:10.1007/s00357-022-09420-0

P. D’Urso, V. Vitale

引用次数: 1

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A Kemeny Distance-Based Robust Fuzzy Clustering for Preference Data

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A Kemeny Distance-Based Robust Fuzzy Clustering for Preference Data

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来源期刊

Journal of Classification 数学-数学跨学科应用

CiteScore

3.60

自引率

5.00%

发文量

审稿时长

>12 weeks

期刊介绍： To publish original and valuable papers in the field of classification, numerical taxonomy, multidimensional scaling and other ordination techniques, clustering, tree structures and other network models (with somewhat less emphasis on principal components analysis, factor analysis, and discriminant analysis), as well as associated models and algorithms for fitting them. Articles will support advances in methodology while demonstrating compelling substantive applications. Comprehensive review articles are also acceptable. Contributions will represent disciplines such as statistics, psychology, biology, information retrieval, anthropology, archeology, astronomy, business, chemistry, computer science, economics, engineering, geography, geology, linguistics, marketing, mathematics, medicine, political science, psychiatry, sociology, and soil science.