Výsledky vyhľadávania - "kmeans clustering algorithm"

Prediction of wind energy location by parallel programming using MPI-based KMEANS clustering algorithm Autor Ponnuswamy, Priya, Palaniappan, Shabariram Chokkalingam

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A novel system for discovery and reuse of typical process route based on information entropy and PSO-Kmeans clustering algorithm Autor LI, Chunlei, CHANG, Zhiyong, LI, Liang

“… clustering algorithm is proposed in this paper. In this system, a similarity measurement method of machining process routes based on the information entropy of multistage longest common subsequence is developed…”
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A novel system for discovery and reuse of typical process route based on information entropy and PSO-Kmeans clustering algorithm Autor LI, Chunlei, CHANG, Zhiyong, LI, Liang

“… clustering algorithm is proposed in this paper. In this system, a similarity measurement method of machining process routes based on the information entropy of multistage longest common subsequence is developed…”
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Road network partitioning method based on Canopy-Kmeans clustering algorithm Autor Lin, Xiaohui, Xu, Jianmin

“…-areas of road network, but when Kmeans clustering algorithm is used in road network partitioning, it is easy to fall into the local optimal solution…”
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An Efficient Technique for Tumor Detection and Classification Using KMeans Clustering Algorithm Autor Sangeeta, Nagendra, H

“…Computed Tomography (CT), Single-Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Resonance Spectroscopy (MRS) as well…”
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Research on PCA-Kmeans++ clustering algorithm considering Spatiotemporal dimension Autor Huang, Jiale, Dai, Jingtong, Li, Yanjin

“…Aiming at the problem that traditional clustering algorithms cannot adapt to spatiotemporal data mining, this paper proposes a new clustering algorithm…”
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Research on load management strategies based on Bi-kmeans clustering algorithm Autor Zhang, Siwen, Zhang, Bo, Bai, Yunlong, Zhang, Yuzhuo, Peng, Wu

“…Aiming at the current problem that the formulation of orderly power consumption program does not fully consider the differences in user load characteristics, a…”
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Anomaly electricity detection method based on entropy weight method and isolated forest algorithm Autor Jianyuan, Wang, Chengcheng, Gu, Kechen, Liu

“…This study aims at investigating the applicability of abnormal electricity consumption data detection method, which is based on the entropy weight method and…”
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Analysis of Learning Internal Drive of Private University Students Based on KMeans Clustering Algorithm Autor Sanjun, Ding, Yadav, Amit, Khan, Asif, Yadav, Dakshina

“…Learning drive plays an important role in improving the comprehensive quality of college students. This paper makes an in-depth analysis on the learning…”
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Study on typical process route mining method based on multilevel longest common subsequence information entropy and intelligent clustering model Autor Chunlei, Li

“…A large number of manufacturing cases are accumulated by manufacturing enterprises in the process of operation and development, and therefore, one of the most…”
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Research on Improvement and Parallelization of Canopy-KMeans Clustering Algorithm Autor Zhao, Huiling

“…For the traditional K-Means algorithm in the face of large-scale data, due to the randomness of the initial cluster centers selected lead to local optima, slow…”
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Gas Leak Real-Time Detection and Volume Flow Quantification Based on Infrared Imaging and Advanced Algorithms Autor Yan, Man, Li, Zhou, Dong, Zheng, Liun, Yiming, Chen, Liyun, Wu, Xiaosong, Wu, Lijun

“…Due to the semi-transparent and irregular nature of gases, it is still a highly challenging task to effectively detect and quantify gas leaks especially those…”
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Optimized Implementation of Kmeans Clustering Algorithm on Reconfigurable System Autor Luan, Lan

“…Clustering analysis has a very broad application prospects for all walks of life in the era of big data and cloud computing, and there are increasingly high…”
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Research on the Optimal Deployment of Expressway Roadside Units under the Fusion Perception of Intelligent Connected Vehicles Autor Wang, Peng, Lu, Youfu, Chen, Ning, Zhang, Luyu, Kong, Weilin, Wang, Qingbin, Qin, Guizhi, Mou, Zhenhua

“…At present, there is still a lack of relevant theoretical guidance on the deployment of roadside RSU on expressways. In the face of the coexistence of V2V and…”
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A real-time fire and flame detection method for electric vehicle charging station based on machine vision Autor Gao, Dexin, Zhang, Shiyu, Ju, Yifan, Yang, Qing

“…In the charging process of electric vehicle (EV), high voltage and high current charging methods are widely used to reduce charging time, resulting in severe…”
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Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding Autor Li, Manzhi, Wang, Hongtao, Long, Haixia, Xiang, Ju, Wang, Bo, Xu, Junlin, Yang, Jialiang

“… In this paper, we propose a Density-Canopy-Kmeans clustering algorithm (DCK) to detect network community structure…”
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Research on highway passenger segmentation based on Canopy-kmeans clustering algorithm under parallel computing framework Autor Ma, Jun, Luo, Shen, Wu, Liuyang, Luo, Guofu, Li, Xiaoke, Zhang, Dong

“…In order to satisfy the needs of highway passenger precise segmentation with massive historical data, a novel clustering algorithm under parallel computing…”
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Hybrid Approach for Airspace Sectorization Based on K-Means Clustering and Genetic Algorithm Optimization Autor Addala, Manel, Mogtit, Abdessamed, Lagha, Mohand

“…This paper presents a genetic optimization approach for airspace sectorization that combines K-means clustering and a genetic algorithm (GA). The algorithm…”
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Multi-time Scale Stochastic Optimization for Hybrid AC-DC Distribution Networks with PET Based on E-C-Kmeans Clustering Autor Sun, Yaobin, Liu, Shourui, Lu, Jiashuo, Du, Yonggang, Zheng, Huankun

“…This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A…”
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A Retail Product Prediction Model Incorporating Machine Learning and Propensity Score Matching Method Autor Chen, Kaidi, Liang, Xuexia, Mo, Yuhua, Li, Yuankun, Xu, Liangben, Kong, Weili

“…++ clustering algorithm and XGBoost algorithm. Specifically, we use cigarette and alcohol sales data from Guangzhou, China for the years 2021-2022 as the study sample, and the results show 1…”
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