Fuzzy clustering with entropy regularization for interval-valued data with an application to scientific journal citations

نویسندگان

چکیده

Abstract In recent years, the research of statistical methods to analyze complex structures data has increased. particular, a lot attention been focused on interval-valued data. classical cluster analysis framework, an interesting line clustering based fuzzy approaches. Following partitioning around medoids approach line, new model for is suggested. we propose use entropy as regularization function in criterion. The uses robust weighted dissimilarity measure smooth noisy and weigh center radius components data, respectively. To show good performances proposed model, provide simulation study application scientific journals evaluation.

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ژورنال

عنوان ژورنال: Annals of Operations Research

سال: 2023

ISSN: ['1572-9338', '0254-5330']

DOI: https://doi.org/10.1007/s10479-023-05180-1