Suchergebnisse - Weighted fuzzy C-means clustering algorithm

PMWFCM: A Possibility based MultiKernel Weighted Fuzzy Clustering Algorithm for classification of driving behaviors

Autoren: Ning Ma Kaijun Wu Yubin Yuan et al.

Quelle: Alexandria Engineering Journal, Vol 113, Iss, Pp 249-261 (2025)

Schlagwörter: Traffic driving assessment, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Kernel function, Fuzzy clustering algorithm, Possibilistic fuzzy clustering, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), 01 natural sciences

Zugangs-URL: https://doaj.org/article/43cb12dcf3a14505be449c45f340a853

An Efficient Weighted Fuzzy Possibilistic C-Means Clustering Algorithm

Autoren: Shuang Xie Haiyan Yu

Quelle: 2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR). :1276-1282

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

Autoren: Maoxuan Yao Lina Ren

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

Zugangs-URL: https://ieeexplore.ieee.org/document/9221399/

PMWFCM: A Possibility based MultiKernel Weighted Fuzzy Clustering Algorithm for classification of driving behaviors.

Autoren: Ma, Ning Wu, Kaijun Yuan, Yubin et al.

Quelle: Alexandria Engineering Journal. Feb2025, Vol. 113, p249-261. 13p.

Schlagwörter: Clustering algorithms, Fuzzy algorithms, Classification algorithms, Kernel functions, Behavioral assessment, Traffic safety

Weighted Fuzzy C-Means: Unsupervised Feature Selection to Realize a Target Partition.

Autoren: Sarkar, Kaushik Mudi, Rajani K. Pal, Nikhil R.

Quelle: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems. Nov2024, Vol. 32 Issue 8, p1111-1134. 24p.

Schlagwörter: *CLUSTERING algorithms, *FEATURE selection, *MATRICES (Mathematics)

Weighted fuzzy time series forecasting based on improved fuzzy C-means clustering algorithm

Autoren: Qinghua Zhao Jianfeng Lu Hong Lu et al.

Quelle: 2018 IEEE International Conference on Progress in Informatics and Computing (PIC). :80-84

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://xplorestaging.ieee.org/ielx7/8699005/8706130/08706278.pdf?arnumber=8706278
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8706278

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

Autoren: Kashif Hussain Memon Dong-Ho Lee

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

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

Zugangs-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

Performance study of fuzzy C-mean clustering algorithm based on local density in network security

Autoren: Can Song

Quelle: Journal of Intelligent & Fuzzy Systems. 46:10637-10651

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Weighted-covariance factor fuzzy c-means clustering

Autoren: Rammal, Abbas Perrin, Eric Vrabie, Valériu et al.

Weitere Verfasser: Rammal, Abbas Perrin, Eric Vrabie, Valériu et al.

Quelle: Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2015 Third International Conference . 2015; 3. International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), Beyrouth, LBN, 2015-04-29-2015-05-01, 144-149

Schlagwörter: logique floue, système racinaire, maïs, spectre infrarouge, Classification of vegetal biomass, Covariance-based weight, FCM-CM algorithm, FCM-M algorithm, FCM-SM algorithm, Fuzzy C-Means (FCM) clustering, GG-algorithm, GK-algorithm, Mid-infrared (MIR) spectra, 02 engineering and technology, [SDV] Life Sciences [q-bio], covariance, 0202 electrical engineering, electronic engineering, information engineering, miscanthus, algorithme de classification, biomasse végétale

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.archives-ouvertes.fr/hal-01187023/file/IEEE-2015_%7B426FFBF0-844E-49C3-8B98-B4F0647176F8%7D.pdf
https://hal.archives-ouvertes.fr/hal-01187023
https://hal.archives-ouvertes.fr/hal-01187023/document
http://prodinra.inra.fr/record/310519
https://hal.science/hal-01187023v1
https://doi.org/10.1109/taeece.2015.7113616
https://hal.science/hal-01187023v1/document

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

Autoren: Yonglin Leng Yueming Hu Qiucen Li et al.

Quelle: Communications in Computer and Information Science ISBN: 9789811081224

Zugangs-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

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

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

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

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

Neighbourhood weighted fuzzy c‐means clustering algorithm for image segmentation

Autoren: Cheng Guangquan Cheng Lizhi Zhao Zaixin

Quelle: IET Image Processing. 8:150-161

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-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/

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

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

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

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

Autoren: Jianchao Fan Min Han Jun Wang

Quelle: Pattern Recognition. 42:2527-2540

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

Zugangs-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

Applying the Fuzzy C-Means Clustering Algorithm to Campus Network Security Assessment Based on the Characteristics of Weighted Complex Networks

Autoren: Jian Zhou Jian-ping Tao Zhi-qin Shou

Quelle: 2010 International Conference on Management and Service Science. :1-5

Schlagwörter: 0103 physical sciences, 01 natural sciences

Zugangs-URL: https://ieeexplore.ieee.org/document/5578374/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005578374

A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation

Autoren: Qiuyu Song Chengmao Wu Xiaoping Tian et al.

Quelle: Applied Intelligence. 52:6376-6397

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s10489-021-02722-7.pdf
https://link.springer.com/content/pdf/10.1007/s10489-021-02722-7.pdf
https://link.springer.com/article/10.1007/s10489-021-02722-7

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

Autoren: Wang Shuai Zeng Shaohua Wu Yalan et al.

Quelle: Journal of Intelligent & Fuzzy Systems. 40:11201-11215

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 15. Life on land

Zugangs-URL: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs202401
https://dblp.uni-trier.de/db/journals/jifs/jifs40.html#ZengWWH21

A new robust clustering algorithm-density-weighted fuzzy c-means

Autoren: Jung-Hua Wang Jin-Liang Chen

Quelle: IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028). 3:90-94

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=823160
https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=823160
http://ieeexplore.ieee.org/document/823160/

A new method of wind speed prediction based on weighted optimal fuzzy c -means and modular extreme learning machine

Autoren: Pan, Chao Tan, Qide Qin, Benshuang

Quelle: Wind Engineering, 2018 Oct 01. 42(5), 447-457.

Zugangs-URL: https://www.jstor.org/stable/90025105

Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering

Autoren: Hengda, Wang Mohamad Mohsin, Mohamad Farhan Mohd Pozi, Muhammad Syafiq

Quelle: Journal of ICT, Vol 23, Iss 3 (2024)

Schlagwörter: T Technology (General), feature weighted, Fuzzy clustering, ordered mechanism, beta distribution, Information technology, T58.5-58.64

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/49b431c4358b48a29e23a86569805bdc