Výsledky vyhledávání - "Improved Fuzzy C-means clustering algorithm"

Improved fuzzy C-means clustering algorithm based on fuzzy particle swarm optimization for solving data clustering problems

Autoři: Hongkang Zhang Shao-Lun Huang

Zdroj: Mathematics and Computers in Simulation. 233:311-329

A New Transformer Faults Diagnosis Method based on an Improved Fuzzy C-Means Clustering Algorithm

Autoři: Ali Abdul-hussian Hassan Ali Mohamed Hussein Nasralla Abdul-hussien Hassan Habeb

Zdroj: 2024 8th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). :1-6

An Improved Fuzzy C-Means Clustering Algorithm Considering Data Density Distribution

Autoři: Rong Cui

Zdroj: 2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT). :1332-1336

Classification and Recognition of Music Curriculum Resources Based on Improved Fuzzy C-Means Clustering Algorithm

Autoři: Xue Li

Zdroj: International Journal of High Speed Electronics and Systems. 34

Témata: 0103 physical sciences, 02 engineering and technology, 0210 nano-technology, 01 natural sciences

An improved fuzzy C-means clustering algorithm using Euclidean distance function

Autoři: Xingchen Zhu Xiaohong Wu Bin Wu a další

Zdroj: Journal of Intelligent & Fuzzy Systems. 44:9847-9862

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

Improved Fuzzy C-Means Clustering Algorithm-Based Dynamic Contrast-Enhanced Magnetic Resonance Imaging Features in the Diagnosis of Invasive Breast Carcinoma before and after Menopause

Autoři: Li Mei Kaixiang Wang Yongjian Gu

Zdroj: Comput Math Methods Med

Témata: 0301 basic medicine, 0303 health sciences, Contrast Media, Breast Neoplasms, Magnetic Resonance Imaging, Sensitivity and Specificity, 03 medical and health sciences, Diffusion Magnetic Resonance Imaging, Cluster Analysis, Humans, Female, Menopause, Algorithms, Research Article, Retrospective Studies

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35761837

CT Image under Improved Fuzzy C-Means Clustering Algorithm for Evaluation of the Relationship between Cerebrospinal Fluid Change and Communicating Hydrocephalus after Decompressive Craniectomy in Patients with Traumatic Brain Injury

Autoři: Yanmin Zhang Chunyue Zhang Yan Wang

Zdroj: Scientific Programming. 2022:1-10

Témata: 03 medical and health sciences, 0302 clinical medicine, 3. Good health

Popis souboru: text/xhtml

Přístupová URL adresa: https://downloads.hindawi.com/journals/sp/2022/9466706.pdf

Unsupervised change detection method in SAR images based on deep belief network using an improved fuzzy C‐means clustering algorithm

Autoři: Sanae Attioui Said Najah

Zdroj: IET Image Processing, Vol 15, Iss 4, Pp 974-982 (2021)

Témata: Radar theory, Filtering methods in signal processing, QA76.75-76.765, Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research, Photography, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Data and information, acquisition, processing, storage and dissemination in geophysics, Image recognition, Algebra, set theory, and graph theory, Computer software, 02 engineering and technology, TR1-1050

Přístupová URL adresa: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.12078
https://doaj.org/article/d6f49b4a3e3444b1a2d9becf5a1337a3
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ipr2.12078
https://doaj.org/article/d6f49b4a3e3444b1a2d9becf5a1337a3

Highway interchange section state discrimination method based on improved fuzzy C-means clustering algorithm

Autoři: Wenyong Li Wenyu Wang Jiawei Li a další

Zdroj: Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024). :73

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

Autoři: Qinghua Zhao Jianfeng Lu Hong Lu a další

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

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

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

An improved fuzzy c-means clustering algorithm with guided filter for Image Segmentation

Autoři: Yingxu Wang Jiwen Dong Guangmei Xu a další

Zdroj: 2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC). :255-258

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/spac/spac2018.html#XuDZWDWWH18

An Improved Fuzzy C-Means Clustering Algorithm Based on Intuitionistic Fuzzy Sets

Autoři: Huanying Zhang Yushui Geng Fei Wang

Zdroj: Advances in Intelligent Systems and Computing ISBN: 9789811537523

Přístupová URL adresa: https://rd.springer.com/chapter/10.1007/978-981-15-3753-0_32
https://link.springer.com/chapter/10.1007/978-981-15-3753-0_32

Research on Daily Load Curve Classification Based on Improved Fuzzy C-means Clustering Algorithm

Autoři: Mingcong Li Heng Hu Haoran Shi a další

Zdroj: Journal of Physics: Conference Series. 2584:012137

Témata: 0103 physical sciences, 01 natural sciences

An Improved Fuzzy C-Means Clustering Algorithm Based on Multi-chain Quantum Bee Colony Optimization

Autoři: Hong Yin Yufang Feng Houqing Lu a další

Zdroj: Wireless Personal Communications. 102:1421-1441

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

Přístupová URL adresa: https://link.springer.com/article/10.1007/s11277-017-5203-2
https://dblp.uni-trier.de/db/journals/wpc/wpc102.html#FengLXYB18

Power system bad load data detection based on an improved fuzzy C-means clustering algorithm

Autoři: Kong Xiangyu Ying Chen Qi'an Hu a další

Zdroj: 2017 IEEE Power & Energy Society General Meeting. :1-5

Témata: 0103 physical sciences, 02 engineering and technology, 0210 nano-technology, 01 natural sciences

Přístupová URL adresa: http://xplorestaging.ieee.org/ielx7/8263544/8273724/08274732.pdf?arnumber=8274732
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8274732

Improved Fuzzy C-means Clustering Algorithm Based on Density-Sensitive Distance

Autoři: WANG Zhihe, WANG Shuyan, DU Hui

Zdroj: Jisuanji gongcheng, Vol 47, Iss 5, Pp 88-96,103 (2021)

Témata: fuzzy c-means(fcm) clustering algorithm, density-sensitive distance, affinity propagation(ap), initial clustering center, silhouette coefficient, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20210512.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/4b854d4fdaab4433a86f2ac3c5069c05

An improved fuzzy C-means clustering algorithm for transformer fault

Autoři: Gang Peng Songping Tang Zhong Zhenxin

Zdroj: 2016 China International Conference on Electricity Distribution (CICED). :1-5

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

Přístupová URL adresa: https://ieeexplore.ieee.org/document/7576369/

An improved fuzzy C-means clustering algorithm

Autoři: Lingzi Duan Li Zhan Fusheng Yu

Zdroj: 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). :1199-1204

Témata: 13. Climate action, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/icnc/icnc2016.html#DuanYZ16
https://ieeexplore.ieee.org/document/7603349/
http://ieeexplore.ieee.org/document/7603349/

Data Processing Method of Mine Wind Speed Monitoring Based on an Improved Fuzzy C-Means Clustering Algorithm

Autoři: Wei Zhang Yucheng Li Junqiao Li

Zdroj: Applied Sciences, Vol 12, Iss 19, p 9701 (2022)

Témata: wind speed anomalies, local regression, fuzzy clustering, cluster validity, wind state, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/12/19/9701; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/19b5750be2454faaa6121b2d69c47d76

Segmentation of Multicolor Fluorescence In-Situ Hybridization (M-FISH) image using an improved Fuzzy C-means clustering algorithm while incorporating both spatial and spectral information

Autoři: Jingyao Li Yu-Ping Wang Dongdong Lin

Zdroj: 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). :413-416

Témata: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/bibm/bibm2015.html#LiLW15
https://ieeexplore.ieee.org/document/7359717/
https://www.computer.org/csdl/proceedings-article/bibm/2015/07359717/12OmNwseEVB
http://dblp.uni-trier.de/db/conf/bibm/bibm2015.html#LiLW15