Search Results - Fuzzy-c regression clustering

Fuzzy C-Regression Clustering Algorithm Based 7-Dof Redundant Manipulators Inverse Dynamics Control

Authors: Jiayu Zhao Tao Zhao Hainan Yang et al.

Source: 2025 37th Chinese Control and Decision Conference (CCDC). :319-324

A novel T-S fuzzy particle filtering algorithm based on fuzzy C-regression clustering

Authors: Liang-qun Li Wang Xiaoli Weixin Xie

Source: International Journal of Approximate Reasoning. 117:81-95

Subject Terms: Classification and discrimination, cluster analysis (statistical aspects), 0202 electrical engineering, electronic engineering, information engineering, particle filtering, Multivariate analysis and fuzziness, fuzzy C-regression clustering, 02 engineering and technology, T-S fuzzy model, Inference from stochastic processes and prediction

File Description: application/xml

Access URL: https://zbmath.org/7174790
https://doi.org/10.1016/j.ijar.2019.11.005

Identification of Hybrid Systems by Fuzzy C-Regression Clustering

Authors: Sašo Blažič Igor Škrjanc

Source: Communications in Computer and Information Science ISBN: 9783031684371

Hybrid System Identification by Incremental Fuzzy C-regression Clustering

Authors: Igor Škrjanc Saso Blazic

Source: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). :1-7

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/fuzzIEEE/fuzzIEEE2020.html#BlazicS20

Incremental Fuzzy C-Regression Clustering From Streaming Data for Local-Model-Network Identification

Authors: Saso Blazic Igor Skrjanc

Source: IEEE Transactions on Fuzzy Systems. 28:758-767

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/tfs/tfs28.html#BlazicS20
https://ieeexplore.ieee.org/document/8712443

A type-2 fuzzy c-regression clustering algorithm for Takagi-Sugeno system identification and its application in the steel industry

Authors: Zarandi, Mohammad Hossein Fazel Gamasaee, R. Türkşen, İsmail Burhan

Index Terms: Structure identification, IT2F c-regression clustering, Gaussian mixture, Weighted least square, Multiple-regression, Steel industry, Article

URL: https://doi.org/10.1016/j.ins.2011.10.015
https://hdl.handle.net/20.500.11851/6179
Information Sciences
Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı

A type-2 fuzzy c-regression clustering algorithm for Takagi–Sugeno system identification and its application in the steel industry

Authors: Türkşen, İsmail Burhan Zarandi, Mohammad Hossein Fazel Gamasaee, R.

Source: Information Sciences. 187:179-203

Subject Terms: Structure identification, Steel industry, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, Multiple-regression, 02 engineering and technology, Gaussian mixture, Weighted least square, IT2F c-regression clustering

Access URL: https://hdl.handle.net/20.500.11851/6179
https://doi.org/10.1016/j.ins.2011.10.015 10.1016/j.ins.2011.10.015
http://www.sciencedirect.com/science/article/pii/S0020025511005585
https://www.sciencedirect.com/science/article/pii/S0020025511005585
https://dblp.uni-trier.de/db/journals/isci/isci187.html#ZarandiGT12
https://dl.acm.org/doi/10.1016/j.ins.2011.10.015
https://hdl.handle.net/20.500.11851/6179
https://doi.org/10.1016/j.ins.2011.10.015

A Trajectory Regression Clustering Technique Combining a Novel Fuzzy C-Means Clustering Algorithm with the Least Squares Method

Authors: Xiangbing Zhou Fang Miao Hongjiang Ma et al.

Source: ISPRS International Journal of Geo-Information, Vol 7, Iss 5, p 164 (2018)

Subject Terms: trajectory regression clustering, Hausdorff distance, angle-based line segments partitioning, Lagrange-based fuzzy C-means, least squares regression, taxi GPS data, Geography (General), G1-922

File Description: electronic resource

Relation: http://www.mdpi.com/2220-9964/7/5/164; https://doaj.org/toc/2220-9964

Access URL: https://doaj.org/article/091fef86b4224842a4caa47c43920ef1

Centered model for fuzzy c-regression and its application to adaptive clustering / データの中心化を考慮したファジィc-回帰と適応型クラスタリング

Authors: Akira Notsu Hidetomo Ichihashi Katsuhiro Honda et al.

Source: Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers. 2007, :223

Autoregressive Model Using Fuzzy C-Regression Model Clustering for Traffic Modeling

Authors: Fumiaki Tanaka Junji Maeda Yukinori Suzuki

Source: IEEJ Transactions on Electronics, Information and Systems. 2003, 123(3):631

Intuitionistic fuzzy based machine learning models for prediction of the oilseed prices

Authors: Sarkar, Anita Yeasin, Md Paul, Ranjit Kumar et al.

Source: 69(4):1671-1681

A Hybrid of Multiple Linear Regression Clustering Model with Support Vector Machine for Colorectal Cancer Tumor Size Prediction

Authors: Muhammad Ammar Shafi Mohd Saifullah Rusiman Shuhaida Ismail et al.

Subject Terms: Colorectal cancer, multiple linear regression, support vector machine, fuzzy c- means, clustering, prediction

Relation: http://dx.doi.org/10.14569/IJACSA.2019.0100439

Availability: https://doi.org/10.14569/IJACSA.2019.0100439

A Design of Incremental Granular Model Using Context-Based Interval Type-2 Fuzzy C-Means Clustering Algorithm

Authors: Keun-Chang KWAK

Source: IEICE Transactions on Information and Systems. 2016, E99.D(1):309

Fuzzy weighted c-harmonic regressions clustering algorithm.

Authors: Zhao, Yang Wang, Pei-hong Li, Yi-guo et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Jul2018, Vol. 22 Issue 14, p4595-4611. 17p.

Subject Terms: *CLUSTERING of particles, *REGRESSION analysis, *MULTIVARIATE analysis, *FUZZY sets, *FUZZY algorithms, *SIMULATION methods & models

Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data

Authors: Zhang, Kaisheng Sun, Daniel (Jian) Shen, Suwan et al.

Source: Journal of Transport and Land Use, 2017 Jan 01. 10(1), 675-694.

Access URL: https://www.jstor.org/stable/26211750

Dynamic Type-2 Fuzzy Dependent Dirichlet Regression Mixture clustering model.

Authors: Gamasaee, R. Zarandi, M.h. Fazel

Source: Applied Soft Computing. Aug2017, Vol. 57, p577-604. 28p.

Subject Terms: Dirichlet forms, Clustering of particles, Regression analysis, K-means clustering, Soft computing

Learning of Object Concept and Application to Object Recognition Using Clustering and Logistic Regression / クラスタリングとロジスティック回帰を利用した物体概念の学習と認識への応用

Authors: Masato SUZUKI Seiji AOYAGI Shohei AKIMOTO et al.

Source: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2017, :1-J06

Incremental Fuzzy C-Regression Clustering From Streaming Data for Local-Model-Network Identification.

Authors: Blazic, Saso Skrjanc, Igor

Source: IEEE Transactions on Fuzzy Systems; Apr2020, Vol. 28 Issue 4, p758-767, 10p

Subject Terms: FUZZY clustering technique, TIME series analysis, IDENTIFICATION, PARALLEL algorithms, LINEAR programming

Switching Regression Model Using Independent Component Analysis and Fuzzy c-Regression Models / 独立成分分析とファジィc-回帰を用いたスイッチング回帰モデル

Authors: Akira Notsu Hidetomo Ichihashi Katsuhiro Honda et al.

Source: Proceedings of the Fuzzy System Symposium. 2006, :35

Hinging hyperplane based regression tree identified by fuzzy clustering and its application

Authors: Kenesei, Tamás Abonyi, János

Source: Applied Soft Computing. Feb2013, Vol. 13 Issue 2, p782-792. 11p.

Subject Terms: Hyperplanes, Regression trees, Fuzzy clustering technique, Application software, Computational complexity, Performance evaluation