Search Results - "means clustering algorithm"

POD–DEIM model order reduction for strain-softening viscoplasticity by Ghavamian, F., Tiso, P., Simone, A.

“…We demonstrate a Model Order Reduction technique for a system of nonlinear equations arising from the Finite Element Method (FEM) discretization of the…”
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Automatic data clustering using nature-inspired symbiotic organism search algorithm by Zhou, Yongquan, Wu, Haizhou, Luo, Qifang, Abdel-Baset, Mohamed

“…The symbiotic organism search (SOS) is a recently proposed metaheuristic optimization algorithm that simulates the symbiotic interaction strategies adopted by…”
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A General 3D Space-Time-Frequency Non-Stationary Model for 6G Channels by 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 by 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 by 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 by 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 enhanced distributed differential evolution algorithm for portfolio optimization problems by Song, Yingjie, Zhao, Gaoyang, Zhang, Bin, Chen, Huayue, Deng, Wuquan, Deng, Wu

“…The population structure of differential evolution (DE) algorithm cannot maintain the diversity of the population to the greatest extent and help the…”
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SDN-Assisted Safety Message Dissemination Framework for Vehicular Critical Energy Infrastructure by Prathiba, Sahaya Beni, Raja, Gunasekaran, Bashir, Ali Kashif, AlZubi, Ahmad Ali, Gupta, Brij

“…The proliferation of fifth-generation (5G) networks toward vehicle-to-everything (V2X) communication has paved the way for driverless autonomous vehicles (AVs)…”
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An indoor thermal comfort model for group thermal comfort prediction based on K-means++ algorithm by 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 by 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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A Probabilistic Linguistic Three-Way Decision Method With Regret Theory via Fuzzy c-Means Clustering Algorithm by Zhu, Jinxing, Ma, Xueling, Martinez, Luis, Zhan, Jianming

“…Aiming at multiattribute decision-making (MADM) problems with probabilistic linguistic term sets (PLTSs), and considering the effective rationality of a…”
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Potential of unsubsidized distributed solar PV to replace coal-fired power plants, and profits classification in Chinese cities by 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 by 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 by 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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Fracture behavior and acoustic emission characteristics of layered sandstone with a bedding-parallel crack by 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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An initialization method for the K -Means algorithm using neighborhood model by Cao, Fuyuan, Liang, Jiye, Jiang, Guang

“…As a simple clustering method, the traditional K -Means algorithm has been widely discussed and applied in pattern recognition and machine learning. However,…”
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Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures by 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 by 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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EM-IFCM: Fuzzy c-means clustering algorithm based on edge modification for imbalanced data by Pu, Yue, Yao, Wenbin, Li, Xiaoyong

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GAPBAS: Genetic algorithm-based privacy budget allocation strategy in differential privacy K-means clustering algorithm by 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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