Search Results - fuzzy C-means clustering (FCM) algorithm*

Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage

Authors: Lintao Zhang Dewen Song Huiying Qiu et al.

Source: Front Neuroinform
Frontiers in Neuroinformatics, Vol 18 (2024)

Subject Terms: convolutional neural network (CNN), intracranial hemorrhage (ICH), Neurosciences. Biological psychiatry. Neuropsychiatry, computed tomography (CT) images, fuzzy C-means clustering (FCM) algorithm, image segmentation, RC321-571, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/39507424
https://doaj.org/article/30c67ea92d7040f1afd2f6e7b03f7736

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

Authors: Gang Huang Jiaqi Chen Yuli Ge et al.

Source: Comput Math Methods Med

Subject Terms: 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

Access URL: https://pubmed.ncbi.nlm.nih.gov/35836918

A HYBRID APPROACH COMBINING GENERALIZED NORMAL DISTRIBUTION OPTIMIZATION ALGORITHM AND FUZZY C-MEANS WITH CALINSKI-HARABASZ INDEX FOR CLUSTERING OPTIMIZATION.

Alternate Title: HYBRYDOWE PODEJŚCIE ŁĄCZĄCE UOGÓLNIONY ALGORYTM OPTYMALIZACJI ROZKŁADU NORMALNEGO I ROZMYTE C-ŚREDNIE ZE WSKAŹNIKIEM CALIŃSKIEGO-HARABASZA DO OPTYMALIZACJI GRUPOWANIA. (Polish)

Authors: Ibrahim, Moatasem Mahmood Qasim, Omar Saber Hussein, Talal Fadhil

Source: Informatics Control Measurement in Economy & Environment Protection / Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2025, Vol. 15 Issue 3, p10-14, 5p

Subject Terms: FUZZY clustering technique, CLUSTERING algorithms, OPTIMIZATION algorithms

A hybrid approach combining generalized normal distribution optimization algorithm and fuzzy C-means with Calinski-Harabasz index for clustering optimization

Authors: Moatasem Mahmood Ibrahim Omar Saber Qasim Talal Fadhil Hussein

Source: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 15, Iss 3 (2025)

Subject Terms: feature selection, generalised normal distribution optimisation algorithm, fuzzy C-means clustering, data mining, Calinski-Harabasz index, Environmental engineering, TA170-171, Environmental sciences, GE1-350

File Description: electronic resource

Relation: https://ph.pollub.pl/index.php/iapgos/article/view/6921; https://doaj.org/toc/2083-0157; https://doaj.org/toc/2391-6761

Access URL: https://doaj.org/article/5077de9b3e1d401593f598fdc4be84c0

Fuzzy C‐means clustering algorithm based on superpixel merging and multi‐feature adaptive fusion measurement

Authors: Xie Zeyu Luo Xiao Zhao Defang et al.

Source: IET Image Processing, Vol 18, Iss 1, Pp 140-153 (2024)

Subject Terms: QA76.75-76.765, 03 medical and health sciences, 0302 clinical medicine, fuzzy set theory, Photography, 0202 electrical engineering, electronic engineering, information engineering, Computer software, 02 engineering and technology, TR1-1050, image segmentation

Access URL: https://doaj.org/article/1ba6d4b266cd4d81a60aa8b557aad0e9

Analysis Clustering Using Normalized Cross Correlation In Fuzzy C-Means Clustering Algorithm

Authors: Ricky Crist Geoversam Imantara Kembaren Opim Salim Sitompul Sawaluddin Sawaluddin

Source: Sinkron. 7:2262-2271

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

A Robust Contextual Fuzzy C-Means Clustering Algorithm for Noisy Image Segmentation.

Authors: Kalti, Karim Touil, Asma

Source: Journal of Classification. Nov2023, Vol. 40 Issue 3, p488-512. 25p.

Subject Terms: *Algorithms, Image segmentation, Pixels, Noise control

ANFIS Models with Subtractive Clustering and Fuzzy C-Mean Clustering Techniques for Predicting Swelling Percentage of Expansive Soils

Authors: Mehdi Hashemi Jokar Ali Heidaripanah

Source: Journal of Soft Computing in Civil Engineering, Vol 8, Iss 4, Pp 141-159 (2024)

Subject Terms: expansive soils, swelling, subtractive clustering, fuzzy c-mean clustering (fcm), sensitivity analysis, Technology

File Description: electronic resource

Relation: https://www.jsoftcivil.com/article_196441_883cb928ea9ae1492825882d286ff2fe.pdf; https://doaj.org/toc/2588-2872

Access URL: https://doaj.org/article/43313b45e4694e11bad3bae3a5b29ddc

Fuzzy C-Means Clustering Algorithm-Based Magnetic Resonance Imaging Image Segmentation for Analyzing the Effect of Edaravone on the Vascular Endothelial Function in Patients with Acute Cerebral Infarction

Authors: Jie Yin Hong Chang Dongmei Wang et al.

Source: Contrast Media Mol Imaging

Subject Terms: Male, Cerebral Infarction, Middle Aged, Prognosis, Magnetic Resonance Imaging, 3. Good health, 03 medical and health sciences, Neuroprotective Agents, 0302 clinical medicine, Fuzzy Logic, Edaravone, Image Interpretation, Computer-Assisted, Humans, Drug Therapy, Combination, Female, Endothelium, Vascular, Algorithms, Biomarkers, Research Article, Benzofurans, Follow-Up Studies

File Description: text/xhtml

Access URL: https://downloads.hindawi.com/journals/cmmi/2021/4080305.pdf
https://pubmed.ncbi.nlm.nih.gov/34354551
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295001
http://downloads.hindawi.com/journals/cmmi/2021/4080305.pdf
https://www.hindawi.com/journals/cmmi/2021/4080305/
https://downloads.hindawi.com/journals/cmmi/2021/4080305.pdf

Simulation-Enhanced MQAM Modulation Identification in Communication Systems: A Subtractive Clustering-Based PSO-FCM Algorithm Study.

Authors: Quan, Zhi Zhang, Hailong Luo, Jiyu et al.

Source: Information. Jan2024, Vol. 15 Issue 1, p42. 12p.

Subject Terms: *Telecommunication systems, *Algorithms, *Mobile communication systems, Quadrature amplitude modulation, System identification, Particle swarm optimization, Fuzzy algorithms, Signal classification

Variable-weighted multi-view collaborative fuzzy clustering with consideration of entropy and separability.

Authors: Gu, Yundong Wang, Ziqian Cui, Jiawei et al.

Source: Analysis & Applications. Jul2025, Vol. 23 Issue 5, p731-755. 25p.

Subject Terms: *CLUSTERING algorithms, *ELECTRICAL load, *LAGRANGE problem, *UNCERTAINTY (Information theory), *MATHEMATICAL models, *FUZZY algorithms

Solving Capacitated Vehicle Routing Problem by an Improved Genetic Algorithm with Fuzzy C-Means Clustering

Authors: Ji Zhu

Source: Scientific Programming. 2022:1-8

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

File Description: text/xhtml

Access URL: https://downloads.hindawi.com/journals/sp/2022/8514660.pdf

Fuzzy C‐means clustering algorithm based on superpixel merging and multi‐feature adaptive fusion measurement.

Authors: Zeyu, Xie Xiao, Luo Defang, Zhao et al.

Source: IET Image Processing (Wiley-Blackwell); 1/10/2024, Vol. 18 Issue 1, p140-153, 14p

Subject Terms: PIXELS, IMAGE segmentation, ALGORITHMS, FUZZY algorithms, BRAIN tumors, INFORMATION measurement, INFORMATION resources

A Hybrid Short-Term Load Forecasting Model Based on Improved Fuzzy C-Means Clustering, Random Forest and Deep Neural Networks

Authors: Fu Liu Tian Dong Tao Hou et al.

Source: IEEE Access, Vol 9, Pp 59754-59765 (2021)

Subject Terms: load forecasting, deep neural network, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, fuzzy c-mean algorithm, 7. Clean energy, Clustering, random forest, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09366756.pdf
https://doaj.org/article/96a29e8f0bb245aea3669a1c3b8fabca

A Novel Fuzzy C-means Clustering Algorithm Based on Local Density

Authors: Jian-jun Liu Jiancong Fan Ifip, Hal et al.

Contributors: Jian-jun Liu Jiancong Fan Ifip, Hal et al.

Source: IFIP Advances in Information and Communication Technology ISBN: 9783030469306

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Local density, [INFO] Computer Science [cs], Fuzzy C-means algorithm, Clustering

File Description: application/pdf

Access URL: https://inria.hal.science/hal-03456979v1
https://inria.hal.science/hal-03456979v1/document
https://doi.org/10.1007/978-3-030-46931-3_5
https://hal.inria.fr/hal-03456979
https://link.springer.com/chapter/10.1007/978-3-030-46931-3_5
https://rd.springer.com/chapter/10.1007/978-3-030-46931-3_5
https://dblp.uni-trier.de/db/conf/ifip12/iip2020.html#LiuF20

The image segmentation algorithm of colorimetric sensor array based on fuzzy C-means clustering

Authors: Lan Liu Huan Chun Xu Jiao Yong Cai et al.

Source: Journal of Intelligent & Fuzzy Systems. 38:3605-3613

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

Access URL: https://dblp.uni-trier.de/db/journals/jifs/jifs38.html#XuHLCCL20
https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs179583
https://doi.org/10.3233/JIFS-179583

Double fuzzy relaxation local information C-Means clustering: Double fuzzy relaxation local information C-Means clustering: Y. Gao et al.

Authors: Gao, Yunlong Zheng, Xingshen Wu, Qinting et al.

Source: Applied Intelligence; Jan2025, Vol. 55 Issue 2, p1-25, 25p

Can geodemographic clustering be fair? Incorporating social fairness in crisp and fuzzy approaches through a unified framework.

Authors: Lin, Yue Grekousis, George

Source: International Journal of Geographical Information Science. Jun2025, Vol. 39 Issue 6, p1270-1295. 26p.

Subject Terms: *Cluster analysis (Statistics), Cost functions, Neighborhood characteristics, Neighborhoods, Social planning

A Novel Segmentation Method for Brain MRI Using a Block-Based Integrated Fuzzy C-Means Clustering Algorithm

Authors: Hongjie Zhang Hui Zhang

Source: Journal of Medical Imaging and Health Informatics. 10:579-585

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

Access URL: https://www.ingentaconnect.com/content/asp/jmihi/2020/00000010/00000003/art00008
https://dblp.uni-trier.de/db/journals/jmihi/jmihi10.html#ZhangZ20
https://doi.org/10.1166/jmihi.2020.2970

基于 FCM 的簇内欠采样算法.

Alternate Title: Fuzzy C-means clustering based undersampling in clusters.

Authors: 刘稀文 段隆振 段文影

Source: Journal of Nanchang University (Natural Science). 2021, Vol. 45 Issue 5, p437-444. 8p.

Subject Terms: *RANDOM forest algorithms, *SAMPLING methods, *CLUSTER sampling, *ALGORITHMS