Search Results - "K-means clustering method"

IMPLEMENTATION OF K-MEANS CLUSTERING METHOD FOR ELECTRONIC LEARNING MODEL by Sari, Herlina Latipa, Suranti, Dewi, Zulita, Leni Natalia

“… Implementation of K-Means Clustering method for electronic learning model at SMK Negeri 2 Bengkulu Tengah was conducted by observing 10 students' activities, namely participation of students…”
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Application of the K-means clustering method in the organisation of passenger transport in a smart city by Matseliukh, Yurii, Lytvyn, Vasyl

“… The subject of the study is the principles of studying clustering metrics when calculating the number of clusters for executing transportation schedules…”
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Grouping the districts in Indonesia based on value of science subjects of National Exam using K-Means clustering method by Ferdhiana, R, FAbidin, T, Mardhiah, A

“… Mapping can be done by grouping districts based on attribute values obtained on the implementation of the NE, which in this study using the K-means clustering method…”
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An optimization approach for sustainable and resilient supply chain design with regional considerations by Sabouhi, Fatemeh, Jabalameli, Mohammad Saeed, Jabbarzadeh, Armin

“…•Using a k-means clustering method to assess the regions' sustainability performance.•Developing a Benders decomposition algorithm to solve the model…”
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Investigation the effect of freeze–thaw cycle on fracture mode classification in concrete based on acoustic emission parameter analysis by Lian, Shuailong, Zheng, kun, Zhao, Yu, Bi, Jing, Wang, Chaolin, Huang, Yan sen

“…•The variations of the mechanical properties is deeply investigated for concrete after freezing-thawing cycle action under different immersion condition.•The…”
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Stroke Risk Factors in United States: An Analysis of the 2013–2018 National Health and Nutrition Examination Survey by Ren, Zhouming, Fu, Xinzheng

“…This research intended to identify significant risk factors of stroke among the elderly population in the United States using the k-means clustering method…”
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Characterization of individual retinal ganglion cell responses using K-means clustering method by Celik, Mahmut Emin, Balouji, Ebrahim

“… The determination of the various working intervals required for the development of electronic units is carried out initially by experiments using animal subjects following acute experiments on human subjects…”
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Detection of high frequency oscillations in epilepsy with k-means clustering method by Su Liu, Ince, Nuri F., Sabanci, Akin, Aydoseli, Aydin, Aras, Yavuz, Sencer, Altay, Bebek, Nerses, Zhiyi Sha, Gurses, Candan

“… The aim of our study is to improve and automatize the detection of HFO patterns by developing analysis tools based on an unsupervised k-means clustering method exploring the time-frequency content of iEEG…”
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Hjorth Parameters for Broken Rotor Bars Failures Characterization in Induction Motors by Barcenas-Peralta, R. D., Perez-Ramirez, C. A., Rivera-Guillen, J. R., Amezquita-Sanchez, J. P., Valtierra-Rodriguez, M., Hernandez-Maldonado, R., de Santiago-Perez, J. J.

“… In specific, the detection of a BRB has been the subject of special interest as it poses challenges when attempting early detection and can quickly evolve into catastrophic damages if not detected in a timely manner…”
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Feature Selection Using EEG Signals: A Novel Hybrid Binary Particle Swarm Optimization by Nemati, Mohammad, Taheri, Alireza, Ghazizadeh, Ali, Dehkordi, Milad Banitalebi, Meghdari, Ali

“… In this paper, we propose a novel hybrid Binary Particle Swarm Optimization (BPSO) algorithm which embeds k-means clustering method to enhance feature selection accuracy and computational cost…”
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Altered static and dynamic functional network connectivity in primary angle-closure glaucoma patients by Wang, Yuanyuan, Shu, Yongqiang, Cai, Guoqian, Guo, Yu, Gao, Junwei, Chen, Ye, Lv, Lianjiang, Zeng, Xianjun

“…) underwent evaluation using T1 anatomical and functional MRI on a 3 T scanner. Independent component analysis, sliding window, and the K-means clustering method were employed to investigate the functional network connectivity (FNC…”
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Dynamic functional connectivity changes of resting-state brain network in attention-deficit/hyperactivity disorder by Zhu, Zhihao, Wang, Hongwei, Bi, Hui, Lv, Jidong, Zhang, Xiaotong, Wang, Suhong, Zou, Ling

“… A sliding window and Pearson correlation were used to construct the dynamic brain network of all subjects. The k-means…”
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Assessment of rTMS treatment effects for methamphetamine use disorder based on EEG microstates by Li, Yongcong, Yang, Banghua, Ma, Jun, Gao, Shouwei, Zeng, Hui, Wang, Wen

“… Additionally, 17 healthy individuals were included as baseline controls. The modified k-means clustering method was used to calculate four microstates (MS-A∼MS-D…”
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Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks by Li, Fan, Liu, Manhua

“…•We propose a classification method based on multiple cluster dense convolutional neural networks (DenseNets) using MR images for AD diagnosis.•The whole brain…”
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Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan by Kanda, Eiichiro, Epureanu, Bogdan I., Adachi, Taiji, Tsuruta, Yuki, Kikuchi, Kan, Kashihara, Naoki, Abe, Masanori, Masakane, Ikuto, Nitta, Kosaku

“… = 39,930, 39,930, respectively). We categorized hemodialysis patients in Japan into new clusters generated by the K-means clustering method using the development dataset…”
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Dynamic alterations of spontaneous neural activity in post-stroke aphasia: a resting-state functional magnetic resonance imaging study by Xu, Luyao, Wei, Hongchun, Sun, Zhongwen, Chu, Tongpeng, Li, Min, Liu, Ruhui, Jiang, Li, Liang, Zhigang

“… The sliding window method was used to assess dALFF, with the k-means clustering method used to identify dALFF states…”
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Abnormal brain functional network dynamics in sleep‐related hypermotor epilepsy by Wan, Xinyue, Zhang, Pengfei, Wang, Weina, Wu, Xintong, Tan, Qiaoyue, Su, Xiaorui, Zhang, Simin, Yang, Xibiao, Li, Shuang, Shao, Hanbing, Yue, Qiang, Gong, Qiyong

“…‐window approach to construct a dynamic functional connectivity (dFC) network. The k‐means clustering method was performed to analyze specific FC states and related temporal properties…”
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Inter-individual similarities and variations in muscle forces acting on the ankle joint during gait by Błażkiewicz, Michalina, Wiszomirska, Ida, Kaczmarczyk, Katarzyna, Naemi, Roozbeh, Wit, Andrzej

“…•Maximum-peaks of individual ankle muscles forces during gait is found.•Variation in maximum-peaks of ankle muscle force across subjects was demonstrated…”
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HD-sEMG-based research on activation heterogeneity of skeletal muscles and the joint force estimation during elbow flexion by Zhang, Cong, Chen, Xiang, Cao, Shuai, Zhang, Xu, Chen, Xun

“…To investigate the activation heterogeneity of skeletal muscles and realize the joint force estimation during the elbow flexion task. When an isometric elbow…”
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Abnormal static and dynamic functional network connectivity of the whole-brain in children with generalized tonic-clonic seizures by Li, Yongxin, Ran, Yun, Chen, Qian

“… Resting-state functional magnetic resonance imaging (MRI) data were collected for each subject…”
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