Suchergebnisse - "kmeans clustering algorithm"

Research on load management strategies based on Bi-kmeans clustering algorithm

Autoren: Siwen Zhang Bo Zhang Yunlong Bai et al.

Quelle: 2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET). :1971-1975

Prediction of wind energy location by parallel programming using MPI-based KMEANS clustering algorithm

Autoren: Priya Ponnuswamy Shabariram Chokkalingam Palaniappan

Quelle: Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 46:5451-5473

Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm.

Autoren: Li, Yao¹ (AUTHOR) liyao1005@163.com

Quelle: International Journal of Electrical Engineering Education. Oct2025, Vol. 62 Issue 4, p354-369. 16p.

Schlagwörter: *INCOME gap, *ECONOMIC development, *PANEL analysis, *FUZZY clustering technique, *CITY dwellers, *BIG data, *WEALTH inequality, *RURAL Americans

A novel system for discovery and reuse of typical process route based on information entropy and PSO-Kmeans clustering algorithm

Autoren: LI Chunlei CHANG Zhiyong LI Liang

Quelle: Xibei Gongye Daxue Xuebao, Vol 41, Iss 1, Pp 198-208 (2023)

Schlagwörter: 相似性度量, pso-kmeans聚类算法, 典型工艺路线, 信息熵, 制造实例重用, TL1-4050, Motor vehicles. Aeronautics. Astronautics

Zugangs-URL: https://doaj.org/article/aedb678fbafa45b3979eb84fcfda32ef

Road network partitioning method based on Canopy-Kmeans clustering algorithm

Autoren: Xiaohui Lin Jianmin Xu

Quelle: Archives of Transport, Vol 54, Iss 2, Pp 95-106 (2020)

Schlagwörter: Transportation engineering, T59.5, Automation, TA1001-1280, 0202 electrical engineering, electronic engineering, information engineering, traffic engineering, road network partition, canopy clustering algorithm, kmeans clustering algorithm, macroscopic fundamental diagram, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General)

Zugangs-URL: https://doaj.org/article/86f2c7c22e1a42d58f8c1c48aad405ed
https://ui.adsabs.harvard.edu/abs/2020ArTr...54...95L/abstract
https://paperity.org/p/274584787/road-network-partitioning-method-based-on-canopy-kmeans-clustering-algorithm
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-7fda764e-a475-4d01-86a1-02897147d6d1/c/at2020_2_lin_road.pdf
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-7fda764e-a475-4d01-86a1-02897147d6d1

Research on Improvement and Parallelization of Canopy-KMeans Clustering Algorithm

Autoren: Huiling Zhao

Quelle: 2021 International Conference on Electronic Information Engineering and Computer Science (EIECS). :455-458

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9588045
http://xplorestaging.ieee.org/ielx7/9586785/9587899/09588045.pdf?arnumber=9588045

Efficient Classification of Heart Disease using KMeans Clustering Algorithm

Autoren: M. Thangamani P. Malarkodi Ganthimathi M et al.

Quelle: International Journal of Engineering Trends and Technology. 68:48-53

A Machine Learning Approach to Rock Typing with Relative Permeability Curves Using Kmeans Clustering Algorithm

Autoren: Amalachukwu Immaculata Muoghalu

Quelle: SPE Annual Technical Conference and Exhibition.

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

Parallel MS-Kmeans clustering algorithm based on MapReduce

Autoren: Guodong Li Chunhong Wang Kai Li

Improved Optimization of Canopy-Kmeans Clustering Algorithm Based on Hadoop Platform

Autoren: Gongjian Zhou

Quelle: Proceedings of the International Conference on Information Technology and Electrical Engineering 2018. :1-6

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

Zugangs-URL: https://dl.acm.org/doi/10.1145/3148453.3306258

Research on highway passenger segmentation based on Canopy-kmeans clustering algorithm under parallel computing framework

Autoren: Liuyang Wu Jun Ma Dong Zhang et al.

Quelle: 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). :1-6

Schlagwörter: 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/conf/uic/uic2017.html#MaLWLLZ17
https://doi.org/10.1109/UIC-ATC.2017.8397634

Gas Leak Real-Time Detection and Volume Flow Quantification Based on Infrared Imaging and Advanced Algorithms

Autoren: Man Yan Zhou Li Zheng Dong et al.

Quelle: IEEE Access, Vol 13, Pp 7284-7292 (2025)

Schlagwörter: Gas identification, DeeplabV3+ neural network, Electrical engineering. Electronics. Nuclear engineering, optical flow method, gas quantification, Kmeans clustering algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/a974fe9a3526408fa200c8050a209b44

A New Kmeans Clustering Algorithm For Point Cloud

Autoren: Xiaoming Zhang Li Zhu Xinghu Fu et al.

Quelle: International Journal of Hybrid Information Technology. 8:157-170

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

Zugangs-URL: https://www.earticle.net/Article/A254655

Initializing KMeans Clustering Algorithm using Statistical Information

Autoren: Eltibi, Mohammad F Ashour, Wesam M.

Quelle: International Journal of Computer Applications. 29:51-55

Schlagwörter: normal distribution, data clustering clustering, central limit theory, general terms data mining, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, maximum likelihood estimator, 02 engineering and technology, initial prototypes determination, unsupervised learning, k-means clustering, 7. Clean energy

Dateibeschreibung: application/pdf

Zugangs-URL: https://research.ijcaonline.org/volume29/number7/pxc3874930.pdf
https://ui.adsabs.harvard.edu/abs/2011IJCA...29g..51E/abstract
https://iugspace.iugaza.edu.ps/handle/20.500.12358/24896
https://www.ijcaonline.org/archives/volume29/number7/3573-4930

A New Method for Dimensionality Reduction Using KMeans Clustering Algorithm for High Dimensional Data Set

Autoren: D Napoleon S Pavalakodi

Quelle: International Journal of Computer Applications. 13:41-46

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

Zugangs-URL: https://www.ijcaonline.org/archives/volume13/number7/1789-2471
http://ui.adsabs.harvard.edu/abs/2011IJCA...13g..41N/abstract
http://core.ac.uk/display/21659219
https://www.ijcaonline.org/volume13/number7/pxc3872471.pdf

A Parallel Cop-Kmeans Clustering Algorithm Based on MapReduce Framework

Autoren: Tonny Rutayisire Yan Yang Chao Lin

Quelle: Advances in Intelligent and Soft Computing ISBN: 9783642256608

Zugangs-URL: https://link.springer.com/chapter/10.1007%2F978-3-642-25661-5_13
https://link.springer.com/content/pdf/10.1007%2F978-3-642-25661-5_13.pdf
https://rd.springer.com/chapter/10.1007/978-3-642-25661-5_13

Performance Analysis of Color Image Segmentation using KMeans Clustering Algorithm in Different Color Spaces

Autoren: Iosr Journals Gunjan Mathur1 , Hemant Purohit

Index Begriffe: Dataset

Research on the Optimal Deployment of Expressway Roadside Units under the Fusion Perception of Intelligent Connected Vehicles

Autoren: Peng Wang Youfu Lu Ning Chen et al.

Quelle: Applied Sciences, Vol 13, Iss 15, p 8878 (2023)

Schlagwörter: roadside RSU deployment, traffic flow–information flow coupling theory, WSN node energy loss model, cooperative vehicle infrastructure system, Warshell algorithm, Kmeans clustering algorithm, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/15/8878; https://doaj.org/toc/2076-3417; https://doaj.org/article/55f998d0c1d544b0bc5a26178879c5cb

Verfügbarkeit: https://doi.org/10.3390/app13158878
https://doaj.org/article/55f998d0c1d544b0bc5a26178879c5cb

Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding

Autoren: Manzhi Li Hongtao Wang Haixia Long et al.

Quelle: IEEE Access, Vol 7, Pp 120616-120625 (2019)

Schlagwörter: 0301 basic medicine, 03 medical and health sciences, the Density-Canopy-Kmeans clustering algorithm, 0103 physical sciences, community detection, MDS, Network, Electrical engineering. Electronics. Nuclear engineering, 01 natural sciences, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08807341.pdf
https://doaj.org/article/9c682bc40d694b1796371b5e7ffc94a6
https://dblp.uni-trier.de/db/journals/access/access7.html#LiWLXWXY19
https://ieeexplore.ieee.org/document/8807341/

Anomaly electricity detection method based on entropy weight method and isolated forest algorithm

Autoren: Wang Jianyuan Gu Chengcheng Liu Kechen

Quelle: Frontiers in Energy Research, Vol 10 (2022)

Schlagwörter: abnormal power consumption detection, isolation forest algorithm, kmeans clustering algorithm, entropy weight method, principal component dimension 11, General Works

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2022.984473/full; https://doaj.org/toc/2296-598X

Zugangs-URL: https://doaj.org/article/8962627f627548b18724e0218acd9570