Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series-Reference-Cited by-同舟云学术

Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series

Published:2005-01 Issue:1 Volume:149 Page:39-56
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Abonyi Janos,Feil Balazs,Nemeth Sandor,Arva Peter

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference28 articles.

1. Fuzzy Model Identification for Control;Abonyi,2003

2. Operator support system for multi product processes—application to polyethylene production;Abonyi,2003

3. Modified Gath–Geva fuzzy clustering for identification of Takagi–Sugeno fuzzy models;Abonyi;IEEE Trans. Systems Man Cybernet.,2002

4. R. Babuška, P.J. van der Veen, U. Kaymak, Improved covariance estimation for Gustafson–Kessel clustering, IEEE Internat. Conf. Fuzzy Systems (2002) 1081–1085.

5. Time series modelling and prediction using fuzzy trend information;Baldwin,1998

Cited by 108 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. Phyformer: A degradation physics-informed self-data driven approach to machinery prognostics;Advanced Engineering Informatics;2024-10

2. A comprehensive review of clustering techniques in artificial intelligence for knowledge discovery: Taxonomy, challenges, applications and future prospects;Advanced Engineering Informatics;2024-10

3. Machinery degradation trend prediction considering temporal distribution discrepancy between degradation stages;Engineering Applications of Artificial Intelligence;2024-05

4. The pairwise approximate spatiotemporal symmetry algorithm: A method for segmenting time series pairs.;Psychological Methods;2024-04-04

5. Anomaly Detection in Meteorological Data Using a Hierarchical Temporal Memory Model: A Study on the Case of Kazakhstan;Fırat Üniversitesi Mühendislik Bilimleri Dergisi;2024-03-28