Suchergebnisse - fuzzy c-means (FCM) clustering algorithm*

Performance Analysis of K-Means and Fuzzy C-Means (FCM) Clustering Algorithms for Diabetic Dataset

Autoren: Thambusamy Velmurugan K. Emayavaramban

Quelle: Advances in Transdisciplinary Engineering ISBN: 9781643685779

Particle swarm optimization and fuzzy C-means clustering algorithm for the adhesive layer defect detection

Autoren: Zhu Lvfen

Quelle: Nonlinear Engineering, Vol 14, Iss 1, Pp 407-27 (2025)

Schlagwörter: pso-fcm, adhesive layer, defect detection, image reconstruction, optimal threshold, quality evaluation, Engineering (General). Civil engineering (General), TA1-2040

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2192-8029

Zugangs-URL: https://doaj.org/article/1224ea40ff134e67aea7305da3c8aebe

Implementation of Fuzzy C-Means (FCM) Clustering Based Camouflage Image Generation Algorithm

Autoren: Weijie Xiao Yan Zhao Xiaohui Gao et al.

Quelle: IEEE Access, Vol 9, Pp 120203-120209 (2021)

Schlagwörter: rectangle blocks segmentation, 0202 electrical engineering, electronic engineering, information engineering, Camouflage image, Fuzzy C-Means (FCM) clustering, rectangle blocks scrambling, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09525098.pdf
https://doaj.org/article/47a2378716a24a648c2b44c49baf0a91
https://ieeexplore.ieee.org/document/9525098
https://dblp.uni-trier.de/db/journals/access/access9.html#XiaoZGLHD21

Magnetic Resonance Features of Acquired Immune Deficiency Syndrome Involving Central Nervous System Diseases by Intelligent Fuzzy C-Means Clustering (FCM) Algorithm

Autoren: Gang Huang Jiaqi Chen Yuli Ge et al.

Quelle: Comput Math Methods Med

Schlagwörter: Acquired Immunodeficiency Syndrome, Magnetic Resonance Spectroscopy, Magnetic Resonance Imaging, Pattern Recognition, Automated, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Fuzzy Logic, Central Nervous System Diseases, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Cluster Analysis, Humans, Algorithms, Research Article

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35836918

Comparative Studies of Different Fuzzy-C-Means Clustering Algorithms for Machine Learning.

Autoren: Mallik, Moksud Alam Yasmeen, Hafsa Begum, Nousheen et al.

Quelle: International Research Journal of Innovations in Engineering & Technology; 2025 Special Issue, Vol. 9, p400-406, 7p

Schlagwörter: CLUSTERING algorithms, MACHINE learning, IMAGE segmentation, ALGORITHMS, DIAGNOSIS, FUZZY algorithms

Comparative Studies of Different Fuzzy-C-Means Clustering Algorithms for Machine Learning

Autoren: Moksud Alam Mallik Hafsa Yasmeen Nousheen Begum et al.

Quelle: International Research Journal of Innovations in Engineering and Technology. :400-406

Fuzzy clustering optimization based artificial bee colony algorithm for brain magnetic resonance imaging image segmentation.

Autoren: Mokhtari, Chakir Debakla, Mohammed Meftah, Boudjelal

Quelle: International Journal of Electrical & Computer Engineering (2088-8708); Oct2025, Vol. 15 Issue 5, p4916-4932, 17p

Schlagwörter: BRAIN imaging, IMAGE segmentation, BEES algorithm, FUZZY clustering technique, MATHEMATICAL optimization, IMAGE analysis, COMPUTER-assisted image analysis (Medicine)

Sybil Attack Detection in Iot Environmental Sensors Using Optimized Fuzzy C-Means Clustering Algorithm.

Autoren: Premkumar, R. Manikandan, R. Palanivel, N.

Quelle: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p2669-2674, 6p

Schlagwörter: INTERNET of things, MACHINE learning, COMPUTER network security, CLUSTERING algorithms, OPTIMIZATION algorithms, FUZZY clustering technique, DETECTION algorithms

Ensemble of fuzzy c-means clustering algorithm based on cluster label uniformity for MRI brain image segmentation

Autoren: Anup Kumar Mallick Kabita Purkait Md. Habibur Rahman et al.

Quelle: AIP Advances. 15

Ensemble of fuzzy c-means clustering algorithm based on cluster label uniformity for MRI brain image segmentation.

Autoren: Mallick, Anup Kumar Purkait, Kabita Rahman, Md. Habibur et al.

Quelle: AIP Advances; Jul2025, Vol. 15 Issue 7, p1-9, 9p

Schlagwörter: FUZZY clustering technique, BRAIN imaging, CLUSTERING algorithms, NEUROLOGICAL research, ENSEMBLE learning, ARTIFICIAL intelligence

MRI Image Segmentation Using Bat Optimization Algorithm with Fuzzy C Means (BOA-FCM) Clustering

Autoren: A. Obulesu K. Murugan B. Jai Shankar et al.

Quelle: Journal of Medical Imaging and Health Informatics. 11:661-666

Schlagwörter: 0206 medical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.ingentaconnect.com/content/asp/jmihi/2021/00000011/00000003/art00001
https://dblp.uni-trier.de/db/journals/jmihi/jmihi11.html#ShankarMOSA21

Onshore Wind Farm Collector Circuit Division and Topology Optimization Based on Improved Fuzzy C-Means Clustering

Autoren: YI Hai LÜ Zhouan ZHANG Lingli et al.

Quelle: 发电技术, Vol 45, Iss 4, Pp 675-683 (2024)

Schlagwörter: onshore wind farm, collector line, topology optimization, fuzzy c-means (fcm) clustering algorithm, dynamic prim algorithm, Applications of electric power, TK4001-4102, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Science

Dateibeschreibung: electronic resource

Relation: https://www.pgtjournal.com/article/2024/2096-4528/2096-4528-2024-45-4-675.shtml; https://doaj.org/toc/2096-4528

Zugangs-URL: https://doaj.org/article/7bdf046e5c9e4adbb14eca046c479bed

Wireless Sensor Networks Nodes Clustering and Optimization Based on Fuzzy CMeans and Water Strider Algorithms.

Autoren: Alsharfa, Raya Majid Feghhi, Mahmood Mohassel Majeed, Majid Hameed

Quelle: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 11, p598-612, 15p

Schlagwörter: WIRELESS sensor networks, OPTIMIZATION algorithms, CLUSTERING algorithms, COMPUTER simulation, FUZZY clustering technique, COMPUTER network reliability, MATHEMATICAL optimization, ENERGY consumption

Robust Fuzzy C-Means Clustering Algorithm Based on Normal Shrink and Membership Filtering for Image Segmentation

Autoren: TUNIRANI NAYAK NAYAK Nilamani Bhoi

Quelle: CLEI Electronic Journal, Vol 27, Iss 1 (2024)

Schlagwörter: Electronic computers. Computer science, Image Segmentation, FCM, normal shrink denoising algorithm, membership filtering, QA75.5-76.95

Zugangs-URL: https://doaj.org/article/b271d4456cac469a9358aca20bd494b8

Optimization of fuzzy c-means (FCM) clustering in cytology image segmentation using the gray wolf algorithm

Autoren: Maryam Mohammdian-khoshnoud Ali Reza Soltanian Arash Dehghan et al.

Quelle: BMC Molecular and Cell Biology, Vol 23, Iss 1, Pp 1-9 (2022)

Schlagwörter: Computer-aided diagnosis, Breast cancer, Image segmentation, Machine learning, Gray wolf optimization, Fuzzy c-means, Cytology, QH573-671

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2661-8850

Zugangs-URL: https://doaj.org/article/45fa642cef884afdbbbb6d640bd047fd

A Bridge Crack Segmentation Algorithm Based on Fuzzy C-Means Clustering and Feature Fusion.

Autoren: Yao, Yadong Zhang, Yurui Liu, Zai et al.

Quelle: Sensors (14248220); Jul2025, Vol. 25 Issue 14, p4399, 29p

Schlagwörter: IMAGE segmentation, FUZZY clustering technique, SENSITIVITY & specificity (Statistics), MULTISENSOR data fusion, IMAGE processing

Comprehensive financial analysis of a company relying on fuzzy c-mean (FCM) clustering algorithm

Autoren: Haiyan Sun Jinfen Duan

Quelle: 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE). :1904-1907

Schlagwörter: 1. No poverty

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9421429
http://xplorestaging.ieee.org/ielx7/9421351/9421352/09421429.pdf?arnumber=9421429

The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering

Autoren: Hongxiao Xu Donglai Jiao Wenmei Li

Quelle: Proceedings, Vol 110, Iss 1, p 13 (2024)

Schlagwörter: farthest point sampling, edge point extraction, domain normal vector, FCM clustering algorithm, point cloud reduction, General Works

Zugangs-URL: https://doaj.org/article/8e45195dc0464d03b7e6dac0736615c6

Automatic Identification of Rock Discontinuity Sets by a Fuzzy C-Means Clustering Method Based on Artificial Bee Colony Algorithm

Autoren: Peng Li Tianqi Chen Yan Liu et al.

Quelle: Applied Sciences, Vol 15, Iss 3, p 1497 (2025)

Schlagwörter: Technology, QH301-705.5, Physics, QC1-999, Engineering (General). Civil engineering (General), automatic identification, FCM-ABC method, Chemistry, rock discontinuity sets, TA1-2040, Biology (General), structural plane investigation, QD1-999

Zugangs-URL: https://doaj.org/article/ce8a6cbc359b4bb09e70613e1e0406f1

A novel multifactor type-2 fuzzy time series model based on improved fuzzy C-means algorithm and justifiable granularity for stock index forecasting.

Autoren: Gong, Zengtai Feng, Jindong

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Apr2025, Vol. 29 Issue 7, p3719-3732. 14p.

Schlagwörter: *SOFT sets, *CLUSTERING algorithms, *STANDARD deviations, *FUZZY algorithms, *STOCK price indexes, *FUZZY clustering technique