Suchergebnisse - "K-Means clustering algorithm"

A General 3D Space-Time-Frequency Non-Stationary Model for 6G Channels von Huang, Ziwei, Cheng, Xiang

“… In this paper, a general three-dimensional (3D) space-time-frequency non-stationary model is proposed for sixth generation (6G) channels. From the proposed …”
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A new metaheuristic optimization based on K-means clustering algorithm and its application to structural damage identification von Minh, Hoang-Le, Sang-To, Thanh, Abdel Wahab, Magd, Cuong-Le, Thanh

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A cost-minimized two-stage three-way dynamic consensus mechanism for social network-large scale group decision-making: Utilizing K-nearest neighbors for incomplete fuzzy preference relations von Zhan, Jiaxin, Cai, Mingjie

“… In the era of big data, large scale group decision-making (LSGDM) with social networks (SNs) (namely, SN-LSGDM) has become a hot topic in the field of decision …”
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A method of calculating urban-scale solar potential by evaluating and quantifying the relationship between urban block typology and occlusion coefficient: A case study of Wuhan in Central China von Xu, Shen, Li, Zhixin, Zhang, Chen, Huang, Zhaojian, Tian, Jia, Luo, Yongqiang, Du, Hu

“… •An urban block classification method based on clustering algorithm is applied.•Occlusion coefficient shows three main groups, which represent three types of …”
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An indoor thermal comfort model for group thermal comfort prediction based on K-means++ algorithm von Liu, Ying, Li, Xiangru, Sun, Cheng, Dong, Qi, Yin, Qing, Yan, Bin

“… •K-means++ algorithm was first used to build a thermal comfort model without occupants’ feedback.•Even with small dataset, the proposed model achieved high …”
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Regional economic development level assessment based on K-means clustering algorithm von Pang, Yifan, Nie, Dan

“… In order to quantitatively analyze regional economy through scientific method, the differences of economic development in different regions are revealed. This …”
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Potential of unsubsidized distributed solar PV to replace coal-fired power plants, and profits classification in Chinese cities von Yang, Ying, Campana, Pietro Elia, Yan, Jinyue

“… This paper analyzes if solar photovoltaic technology is economically feasible enough to compete with coal-fired power in Chinese cities in the subsidy-free …”
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Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm von Li, Yue, Chu, Xiaoquan, Tian, Dong, Feng, Jianying, Mu, Weisong

“… The improvement of enterprise competitiveness depends on the ability to match segmented customers in a competitive market. In this study, we propose a customer …”
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Reversible data hiding method for multi-histogram point selection based on improved crisscross optimization algorithm von Weng, Shaowei, Tan, Wenlong, Ou, Bo, Pan, Jeng-Shyang

“… Traditional prediction error expansion (PEE)-based reversible data hiding (RDH) schemes focus on generating a sharp prediction error histogram (PEH) in order …”
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Technology Topic Mining and Trend Analysis from the Perspective of Industrial Chain Combined with K-Means and LDA——Taking Virtual Reality Technology as an Example von Chen Ling, Lin Ping, Duan Yaoqing

“… [Purpose/significance] From the perspective of industry chain, this paper takes virtual reality technology as an example, constructs VR patent industry chain …”
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Fracture behavior and acoustic emission characteristics of layered sandstone with a bedding-parallel crack von Liu, Kewei, Zou, Liansong, Guo, Tengfei, Guo, Can, Yang, Jiacai, Zhang, Yi

“… •Fracture mode and AE characteristics of layered sandstone were analyzed.•Four division methods were adopted to identify crack types, and an optimal method was …”
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Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures von Cheng, Shou-Hsiung, Chen, Shyi-Ming, Jian, Wen-Shan

“… In this paper, we propose a new fuzzy time series forecasting method for forecasting the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) …”
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Impact of rainfall characteristics on urban stormwater quality using data mining framework von Yan, Haibin, Zhu, David Z., Loewen, Mark R., Zhang, Wenming, Liang, Shuntian, Ahmed, Sherif, van Duin, Bert, Mahmood, Khizar, Zhao, Stacey

“… Understanding the impact of rainfall characteristics on urban stormwater quality is important for stormwater management. Even though significant attempts have …”
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GAPBAS: Genetic algorithm-based privacy budget allocation strategy in differential privacy K-means clustering algorithm von Li, Yong, Song, Xiao, Tu, Yuchun, Liu, Ming

“… The differential privacy k-means (DP k-means) clustering algorithm emerged to address the privacy protection challenges in the field of data mining. However, …”
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What are the critical barriers to the development of hydrogen refueling stations in China? A modified fuzzy DEMATEL approach von Xu, Chuanbo, Wu, Yunna, Dai, Shuyu

“… Hydrogen fuel cell vehicle is one of the important modalities of the next generation of new energy vehicles. As the basic infrastructure of hydrogen fuel cell …”
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K-Means Clustering Algorithm Approach in Clustering Data on Cocoa Production Results in the Sumatra Region von Harahap, Mawaddah, Zamili, Arief Wahyu Dwi Ramadhanu, Arvansyah, Muhammad Arie, Saragih, Erwin Fransiscus, Rajen, Selwa, Husein, Amir Mahmud

“… Cocoa agricultural production in Indonesia is currently very low while demand continues to increase every year, so it is very important to build a model that …”
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A new distance with derivative information for functional k-means clustering algorithm von Meng, Yinfeng, Liang, Jiye, Cao, Fuyuan, He, Yijun

“… •Define a novel distance used to measure the similarity among functional samples.•Present the optimal representation of cluster centroids for the functional …”
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Mechanical response and damage mechanism of C/SiC composites impacted by high-velocity water jet von Zhao, Renxi, Hou, Naidan, Wang, Xuan, Yue, Yifan, Wang, Bo, Li, Yulong, Zhang, Chengyu

“… Rain erosion is a potential hazard for supersonic vehicles, with severe damage to materials that may be impacted by raindrops. In this paper, a series of …”
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An integrated approach to the selection of municipal solid waste landfills through GIS, K-Means and multi-criteria decision analysis von Eghtesadifard, Mahmood, Afkhami, Payam, Bazyar, Arash

“… Selecting the proper site for disposing of solid waste is one of the serious environmental and public health concerns in metropolises. This multifaceted issue …”
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Hybrid model for robust and accurate forecasting building electricity demand combining physical and data-driven methods von Dong, Xianzhou, Guo, Weiyong, Zhou, Cheng, Luo, Yongqiang, Tian, Zhiyong, Zhang, Limao, Wu, Xiaoying, Liu, Baobing

“… The high-precision prediction of building electrical demand is paramount significance for optimal control of building systems and the reduction of operational …”
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