Suchergebnisse - "fcm clustering algorithm"

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

A Fault Diagnosis Method for Oil Well Electrical Power Diagrams Based on Multidimensional Clustering Performance Evaluation

Autoren: Xingyu Liu Xin Meng Ze Hu et al.

Quelle: Sensors ; Volume 25 ; Issue 6 ; Pages: 1688

Schlagwörter: beam-pumping system, electrical parameters, FCM clustering algorithm, cluster validity function

Dateibeschreibung: application/pdf

Relation: Fault Diagnosis & Sensors; https://dx.doi.org/10.3390/s25061688

Verfügbarkeit: https://doi.org/10.3390/s25061688

An Algorithm to Extract the Defective Areas of Potato Tubers Infected with Black Scab Disease Using Fuzzy C Means Clustering for Automatic Grading

Autoren: Behzad Azimi-Saghin Mahmoud Omid Fariba Rezvani et al.

Quelle: Biomechanism and Bioenergy Research, Vol 2, Iss 1, Pp 32-39 (2023)

Schlagwörter: black scab disease, fcm clustering algorithm, potato disease, image processing, Agriculture

Dateibeschreibung: electronic resource

Relation: https://bbr.uk.ac.ir/article_3803_7d614fd4f840cadcd565dd720aa40f42.pdf; https://doaj.org/toc/2821-1855

Zugangs-URL: https://doaj.org/article/ca77744a9560480c9490a640ccba1974

HFC: data clustering based on hesitant fuzzy decision making

Autoren: Aliahmadipour, L. Eftekhari, M. Torra, Vicenç

Quelle: Iranian Journal of Fuzzy Systems. 19(5):167-181

Schlagwörter: FCM clustering algorithm, hesitant fuzzy clustering, hesitant fuzzy decision making, hierarchical clustering algorithm

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-200409

An FCM clustering algorithm based on the identification of accounting statement whitewashing behavior in universities

Autoren: Yang Qihao

Quelle: Journal of Intelligent Systems, Vol 31, Iss 1, Pp 345-355 (2022)

Schlagwörter: fcm clustering algorithm, Science, Electronic computers. Computer science, university accounting statements, whitewashing behavior, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, behavior recognition

Zugangs-URL: https://doaj.org/article/3c53d7960b794e7d903a75900ed2125f

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

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2504-3900/110/1/13; https://doaj.org/toc/2504-3900

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

A highly efficient framework for outlier detection in urban traffic flow

Autoren: Xing Wang Ruihao Zeng Fumin Zou et al.

Quelle: IET Intelligent Transport Systems, Vol 15, Iss 12, Pp 1494-1507 (2021)

Schlagwörter: Transportation engineering, Algebra, TA1001-1280, Electronic computers. Computer science, 11. Sustainability, Outlier detection, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, Road traffic flow pattern, K‐FCM clustering algorithm, PSO‐BP neural network, Nonnegative matrix factorization (NMF)

Zugangs-URL: https://doaj.org/article/abd991d7eded4fec8feffdd7a42a5e3a
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.12109

Research on Urban Resident Activity Patterns and Hotspot Area Based on GPS Floating Car Data

Autoren: Yongfa Li Xiaoqing Zuo Fang Yang

Quelle: IEEE Access, Vol 8, Pp 2694-2707 (2020)

Schlagwörter: GPS data, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, improved FCM clustering algorithm, activities of urban residents, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, hot spots, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/08943380.pdf
https://doaj.org/article/2c3e5ff42c0e47af8f7fc3971efceacf
https://dblp.uni-trier.de/db/journals/access/access8.html#LiZY20
https://ieeexplore.ieee.org/document/8943380

Crack Monitoring for Hot-Spot Areas Under Time-Varying Load Condition Based on FCM Clustering Algorithm

Autoren: Hu Sun Junyan Yi Yu Xu et al.

Quelle: IEEE Access, Vol 7, Pp 118850-118856 (2019)

Schlagwörter: 0203 mechanical engineering, time-varying load, KLD migration index, FCM clustering algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Crack monitoring, TK1-9971, 0201 civil engineering

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08808873.pdf
https://doaj.org/article/8f72cfa4c7744c509135da971624663f
https://dblp.uni-trier.de/db/journals/access/access7.html#SunYXWQ19
https://ieeexplore.ieee.org/document/8808873/
https://doaj.org/article/8f72cfa4c7744c509135da971624663f

Application of FCM Clustering Algorithm in Digital Library Management System

Autoren: Yuqing Shi

Quelle: Electronics, Vol 11, Iss 3916, p 3916 (2022)

Schlagwörter: library management system, digital library, FCM clustering algorithm, cross-estimation of mistake rate, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/11/23/3916; https://doaj.org/toc/2079-9292; https://doaj.org/article/fdd32a2cbd1245088b64f32035500f2c

Verfügbarkeit: https://doi.org/10.3390/electronics11233916
https://doaj.org/article/fdd32a2cbd1245088b64f32035500f2c

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

Autoren: WANG Zhihe, WANG Shuyan, DU Hui

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/4b854d4fdaab4433a86f2ac3c5069c05

Bit Reduced FCM with Block Fuzzy Transforms for Massive Image Segmentation

Autoren: BARBARA CARDONE FERDINANDO DI MARTINO Cardone, Barbara et al.

Weitere Verfasser: BARBARA CARDONE FERDINANDO DI MARTINO Cardone, Barbara et al.

Schlagwörter: fuzzy c-means (FCM), bit-reduced fuzzy c-means (brFCM), Fuzzy Transform bit reduction FCM clustering algorithm (FTbrFCM), massive data, image segmentation

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000557650200001; volume:11; issue:351; numberofpages:18; journal:INFORMATION; http://hdl.handle.net/11588/812678

Verfügbarkeit: http://hdl.handle.net/11588/812678
https://doi.org/10.3390/info11070351
https://www.mdpi.com/2078-2489/11/7/351/pdf

Fuzzy functions with function expansion model for nonlinear system identification

Autoren: Alci, M. Beyhan, Selami

Quelle: Intelligent Automation & Soft Computing. 23:87-94

Schlagwörter: Function expansion, LSE, Fuzzy basis functions, Fuzzy function, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, FCM clustering algorithm, 02 engineering and technology, System identification, RLSE

Zugangs-URL: https://avesis.ege.edu.tr/yayin/fcdff331-f9b4-494b-a1a7-bec35b786b97/fuzzy-functions-with-function-expansion-model-for-nonlinear-system-identification
https://dblp.uni-trier.de/db/journals/iasc/iasc23.html#AlciB17
https://www.tandfonline.com/doi/full/10.1080/10798587.2015.1136107
https://hdl.handle.net/11499/9145
https://doi.org/10.1080/10798587.2015.1136107
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/9145
https://hdl.handle.net/11454/32373
https://doi.org/10.1080/10798587.2015.1136107

Using fuzzy c-means clustering algorithm in financial health scoring

Autoren: Furkan BASER Soner GOKTEN Pinar OKAN GOKTEN

Quelle: Audit Financiar, Vol 15, Iss 147, Pp 385-394 (2017)

Schlagwörter: Accounting numbers, financial analysis, financial classification, Fuzzy c-means (FCM) clustering algorithm, Accounting. Bookkeeping, HF5601-5689, Finance, HG1-9999

Dateibeschreibung: electronic resource

Relation: http://revista.cafr.ro/temp/Article_9540.pdf; https://doaj.org/toc/1844-8801

Zugangs-URL: https://doaj.org/article/b201bb37c033477ba62437fe5a89afb7

Effect analysis of the weighting scheme with modified FCM clustering algorithm on precision of SLR orbit determination

Autoren: SHAO Fan WANG Xiaoya HE Bing et al.

Quelle: Acta Geodaetica et Cartographica Sinica, Vol 48, Iss 10, Pp 1236-1243 (2019)

Schlagwörter: satellite laser ranging, precise orbit determination, modified fcm clustering algorithm, slr global performance report card, Mathematical geography. Cartography, GA1-1776

Relation: http://html.rhhz.net/CHXB/html/2019-10-1236.htm; https://doaj.org/toc/1001-1595; https://doaj.org/article/76d4c52d95674a6494c0a32247af6d56

Verfügbarkeit: https://doi.org/10.11947/j.AGCS.2019.20180373
https://doaj.org/article/76d4c52d95674a6494c0a32247af6d56

Synthetic Aperture Radar (SAR) images features clustering using Fuzzy c-means (FCM) clustering algorithm

Autoren: Rashid Hussain

Quelle: Computational Ecology and Software, Vol 2, Iss 4, Pp 220-225 (2012)

Schlagwörter: Synthetic Aperture Radar (SAR), Fuzzy c-means (FCM) clustering algorithm, satellite radar image, remote sensing, ecological monitoring, Technology (General), T1-995, Science

Dateibeschreibung: electronic resource

Relation: http://www.iaees.org/publications/journals/ces/articles/2012-2(4)/synthetic-aperture-radar-images-features-clustering.pdf; https://doaj.org/toc/2220-721X

Zugangs-URL: https://doaj.org/article/b0eb5c2cde0f45b7b7c2515518df11a9

Fuzzy functions with function expansion model for nonlinear system

Autoren: Alci, M Beyhan, S

Schlagwörter: basis functions, System identification, LSE, RLSE, Fuzzy function, Function expansion, FCM clustering algorithm, Fuzzy

Zugangs-URL: http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/23918
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/15970

Optimal Design of Fuzzy Clustering-based Fuzzy Neural Networks for Pattern Classification

Autoren: Jong-pil Lee Dong-yoon Lee The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Jong-pil Lee Dong-yoon Lee The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.sersc.org/journals/IJGDC/vol5_no3/4.pdf.

Schlagwörter: Fuzzy Neural Networks, FCM clustering algorithm, Scatter partition of input space, Optimization, Genetic Algorithms

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.640.9820; http://www.sersc.org/journals/IJGDC/vol5_no3/4.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.640.9820
http://www.sersc.org/journals/IJGDC/vol5_no3/4.pdf

Retinal Blood Vessel Segmentation using Gray-Level and Moment Invariants-Based Features

Autoren: Jegatha R Lakshmi K The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Jegatha R Lakshmi K The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.jcaksrce.org/upload/52278301_vol5ie123p10.pdf.

Schlagwörter: Fuzzy C-means (FCM) clustering algorithm, gray-level, moment invariantsbased

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.1224; http://www.jcaksrce.org/upload/52278301_vol5ie123p10.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.1224
http://www.jcaksrce.org/upload/52278301_vol5ie123p10.pdf

應用模糊C平均分群演算法與HRV提升治療型音樂的使用者經驗

Autoren: 許雅雯 Hsu, Ya-Wen 邱銘傳 et al.

Weitere Verfasser: 許雅雯 Hsu, Ya-Wen 邱銘傳 et al.

Schlagwörter: 音樂治療 模糊 C 平均分群演算法 心跳變異性 使用者經驗 個人認知, Music Therapy Fuzzy C-Means (FCM) Clustering Algorithm Personal Cognition Heart Rate Variability (HRV) User Experience (UX), musiq, psy

Relation: http://nthur.lib.nthu.edu.tw/dspace/bitstream/987654321/86778/1/GH02102034614.pdf; http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/86778

Verfügbarkeit: http://nthur.lib.nthu.edu.tw/dspace/bitstream/987654321/86778/1/GH02102034614.pdf
http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/86778