Meta-clustering of possibilistically segmented retail datasets-Reference-Cited by-同舟云学术

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Meta-clustering of possibilistically segmented retail datasets

Published:2016-03 Issue: Volume:286 Page:173-196
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Ammar Asma,Elouedi Zied^ORCID,Lingras Pawan^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference45 articles.

1. A new possibilistic clustering method: the possibilistic K-modes;Ammar,2011

2. K-modes clustering using possibilistic membership;Ammar,2012

3. The K-modes method under possibilistic framework;Ammar,2013

4. Granular Computing: an Introduction;Bargiela,2002

5. Pattern Recognition with Fuzzy Objective Function Algorithms;Bezdek,1981

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cluster analysis of food retailers in Russia;Upravlenets;2022-05-06

2. The role of shopping mission in retail customer segmentation;International Journal of Market Research;2020-05-28

3. From Crisp to Soft Possibilistic and Rough Meta-clustering of Retail Datasets;Advances in Intelligent Systems and Computing;2018

4. Clustering retail products based on customer behaviour;Applied Soft Computing;2017-11

5. Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review;Information Sciences;2017-08

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