Search Results - "Weighted fuzzy C-means clustering algorithm"

Adaptive Weighted Fuzzy C-Means Clustering Algorithm Based on Density Peaks

Authors: Maoxuan Yao Lina Ren

Source: 2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA). :52-56

Access URL: https://ieeexplore.ieee.org/document/9221399/

Generalised kernel weighted fuzzy C-means clustering algorithm with local information

Authors: Kashif Hussain Memon Dong-Ho Lee

Source: Fuzzy Sets and Systems. 340:91-108

Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/fss/fss340.html#MemonL18
https://www.sciencedirect.com/science/article/pii/S0165011418300551
https://repository.hanyang.ac.kr/handle/20.500.11754/81154

A Weighted Fuzzy c-Means Clustering Algorithm for Incomplete Big Sensor Data

Authors: Yonglin Leng Yueming Hu Qiucen Li et al.

Source: Communications in Computer and Information Science ISBN: 9789811081224

Access URL: https://rd.springer.com/chapter/10.1007/978-981-10-8123-1_6
https://link.springer.com/chapter/10.1007/978-981-10-8123-1_6
https://dblp.uni-trier.de/db/conf/cwsn/cwsn2017.html#LiCHLL17

Neighbourhood weighted fuzzy c‐means clustering algorithm for image segmentation

Authors: Cheng Guangquan Cheng Lizhi Zhao Zaixin

Source: IET Image Processing. 8:150-161

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

Access URL: http://dblp.uni-trier.de/db/journals/iet-ipr/iet-ipr8.html#ZhaoCC14
https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2011.0128
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-ipr.2011.0128
https://dblp.uni-trier.de/db/journals/iet-ipr/iet-ipr8.html#ZhaoCC14
https://www.mendeley.com/catalogue/026c2389-9d58-33f9-ae33-e02a799ae882/
https://ieeexplore.ieee.org/document/6750472/

Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation

Authors: Jianchao Fan Min Han Jun Wang

Source: Pattern Recognition. 42:2527-2540

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.sciencedirect.com/science/article/abs/pii/S0031320309001563
https://dblp.uni-trier.de/db/journals/pr/pr42.html#FanHW09
https://dl.acm.org/doi/10.1016/j.patcog.2009.04.013
https://doi.org/10.1016/j.patcog.2009.04.013

An Adaptive Weighted Fuzzy C-means Clustering Algorithm for Remote Sensing Image Classification

Authors: Chih-Cheng Hung Shihong Chen Tianyi Cui et al.

Source: Journal of Information and Computational Science. 10:2009-2020

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

Access URL: http://www.joics.com/publishedpapers/2013_10_7_2009_2020.pdf

A New Weighted Fuzzy C-Means Clustering Algorithm for Remotely Sensed Image Classification

Authors: Chih-Cheng Hung Bor-Chen Kuo S Kulkarni

Source: IEEE Journal of Selected Topics in Signal Processing. 5:543-553

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

Intelligent Medical Diagnosis System Using Weighted Genetic and New Weighted Fuzzy C-Means Clustering Algorithm

Authors: S. Saravan Kumar P. S. Jeetha Lakshmi A. Suresh

Source: Advances in Intelligent Systems and Computing ISBN: 9788132221258

Subject Terms: 13. Climate action, 3. Good health

Access URL: https://rd.springer.com/chapter/10.1007/978-81-322-2126-5_24
https://link.springer.com/chapter/10.1007/978-81-322-2126-5_24

Solving Uncapacitated Planar Multi-facility Location Problems by a Revised Weighted Fuzzy c-means Clustering Algorithm

Authors: Kucukdeniz, Tarik Esnaf, Sakir İstanbul Üniversitesi , et al.

Contributors: Kucukdeniz, Tarik Esnaf, Sakir İstanbul Üniversitesi , et al.

Subject Terms: Biyoenformatik, Mühendislik ve Teknoloji, Bilgisayar Bilimleri, Algoritmalar, BİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM, Mühendislik, Bilişim ve Teknoloji (ENG), Bilgisayar Bilimi, YAPAY ZEKA

Relation: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING; vv_1032021; http://hdl.handle.net/20.500.12627/79518; 21; 147; 164

Availability: https://hdl.handle.net/20.500.12627/79518

Segmentation of Vessels in Fundus Images using Spatially Weighted Fuzzy c-Means Clustering Algorithm

Authors: Giri Babu K T. Satya Savithri P. V. Subbaiah et al.

Contributors: Giri Babu K T. Satya Savithri P. V. Subbaiah et al.

Source: http://paper.ijcsns.org/07_book/200712/20071215.pdf.

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.8610; http://paper.ijcsns.org/07_book/200712/20071215.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.8610
http://paper.ijcsns.org/07_book/200712/20071215.pdf

Intelligent Medical Diagnosis System Using Weighted Genetic and New Weighted Fuzzy C-Means Clustering Algorithm.

Authors: Jeetha Lakshmi, P. S. Saravan Kumar, S. Suresh, A.

Source: Artificial Intelligence & Evolutionary Algorithms in Engineering Systems: Proceedings of ICAEES 2014, Volume 1; 2015, p213-220, 8p

A NEW FEATURE WEIGHTED FUZZY C-MEANS CLUSTERING ALGORITHM

Authors: Huaiguo Fu Ahmed M. Elmisery The Pennsylvania State University CiteSeerX Archives

Contributors: Huaiguo Fu Ahmed M. Elmisery The Pennsylvania State University CiteSeerX Archives

Source: http://futurecomm.tssg.org/public/publications/2009_IADIS_fu_et_al.pdf.

Subject Terms: cluster analysis, fuzzy clustering, feature weighted

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.9587; http://futurecomm.tssg.org/public/publications/2009_IADIS_fu_et_al.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.9587
http://futurecomm.tssg.org/public/publications/2009_IADIS_fu_et_al.pdf

Neighbourhood weighted fuzzy c‐means clustering algorithm for image segmentation.

Authors: Zaixin, Zhao Lizhi, Cheng Guangquan, Cheng

Source: IET Image Processing (Wiley-Blackwell); Mar2014, Vol. 8 Issue 3, p150-161, 12p

Solving Uncapacitated Planar Multi-facility Location Problems by a Revised Weighted Fuzzy c-means Clustering Algorithm.

Authors: ESNAF, ŞAKIR KÜÇÜKDENIZ, TARIK

Source: Journal of Multiple-Valued Logic & Soft Computing; 2013, Vol. 21 Issue 1-2, p147-164, 18p, 3 Charts, 2 Graphs

Subject Terms: LOCATION problems (Programming), FUZZY algorithms, FUZZY clustering technique, PARTICLE swarm optimization, CENTER of mass, MOTHERBOARDS

A New Weighted Fuzzy C-Means Clustering Algorithm for Remotely Sensed Image Classification.

Authors: Hung, Chih-Cheng Kulkarni, Sameer Kuo, Bor-Chen

Source: IEEE Journal of Selected Topics in Signal Processing; Jun2011, Vol. 5 Issue 3, p543-553, 11p

Forecasting Trend of Coronavirus Disease 2019 using Multi-TaskWeighted TSK Fuzzy System.

Authors: YIZHANG JIANG XIAOQING GU LEI HUA et al.

Source: ACM Transactions on Internet Technology; Aug2022, Vol. 22 Issue 3, p1-24, 24p

Subject Terms: COVID-19, FUZZY systems, FUZZY clustering technique, EDGE computing, FORECASTING, COMMUNICABLE diseases, INFORMATION modeling

Adaptive scale weighted fuzzy C-Means clustering for the segmentation of purple soil color image.

Authors: Zeng, Shaohua Wu, Yalan Wang, Shuai et al.

Source: Journal of Intelligent & Fuzzy Systems; 2021, Vol. 40 Issue 6, p11201-11215, 15p

Subject Terms: SOIL color, EUCLIDEAN distance, SOIL classification, ALGORITHMS

Comparative analysis of various fuzzy clustering algorithms for linearly and non-linearly separable data.

Authors: Sethia, Kavita Gosain, Anjana Singh, Jaspreeti

Source: Innovations in Systems & Software Engineering; Dec2025, Vol. 21 Issue 4, p1229-1252, 24p

A robust possibilistic semi-supervised fuzzy clustering algorithm with neighborhood-aware feature weighting.

Authors: Moghaddam, Arezou Najafi Aghazadeh, Nasser Hashemzadeh, Mahdi et al.

Source: International Journal of Machine Learning & Cybernetics; Nov2025, Vol. 16 Issue 11, p8803-8838, 36p

A Dynamic QoS Mapping Algorithm for 5G-TSN Converged Networks Based on Weighted Fuzzy C-Means and Three-Way Decision Theory.

Authors: Wu, Yuhang Xu, Fangmin Ning, Lina et al.

Source: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6648, 22p

Subject Terms: QUALITY of service, 5G networks, DECISION theory, NETWORK performance, CLUSTERING algorithms, LOAD balancing (Computer networks), FUZZY clustering technique