Výsledky vyhledávání - "k-means clustering algorithms"

An Energy Efficient Tour Construction Using Restricted k-Means Clustering Algorithm for Mobile Sink in Wireless Sensor Networks Autor Rasul, Aram, Al-Talabani, Abdulbasit

“… We aim to find an optimal path for a mobile sink to collect a single packet from each sensor via a single hop and return back to the starting point such that, subject to the length constraint L…”
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Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system Autor Vara, Narjes, Mirzabeigi, Mahdieh, Sotudeh, Hajar, Fakhrahmad, Seyed Mostafa

“…This study investigates to evaluate feasibility of k-means clustering algorithm in order to improve effectiveness of the results recommended by RICEST Journal Finder System…”
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A method for assessment of the general circulation model quality using the K -means clustering algorithm: a case study with GETM v2.5 Autor Raudsepp, Urmas, Maljutenko, Ilja

“…The model's ability to reproduce the state of the simulated object or particular feature or phenomenon is always a subject of discussion…”
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Analyzing Students' Interest in Mathematics Through the Implementation of the K-Means Clustering Algorithm Autor Wintana, Dede, Sulaiman, Hamdun, Rohman, Ramdhan Saepul, Gunawan, Gunawan, Ghani, Muhammad Abdul

“… considered a difficult and frightening subject for some students. Learning interest, which is defined as the tendency of students to pay attention with a feeling of pleasure, has a significant influence on the process and results of student learning…”
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Explorative study for the structural elements of Mimar Sinan mosques: an evaluation with k-means clustering algorithm Autor Çalışkan, Ekrem Bahadır, Karakuş, Filiz

“… identities within the empire's borders. The subject of this study is to evaluate the mosques designed by Mimar Sinan, the most well-known architect of the 16th-century Islamic Region, in the capital, Istanbul, and other cities…”
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Segmentation image re-coloring based on k-means clustering algorithm as a tool for partial color-blind people Autor Musa, Angky Fajriati MS, Adiwijaya, Utama, Dody Qori

“… A total of 15 images without the coloring process were tested on color blind subjects. The result is that only…”
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Reliability of Resting-State Microstate Features in Electroencephalography Autor Khanna, Arjun, Pascual-Leone, Alvaro, Farzan, Faranak

“… We analyzed resting-state, eyes-closed, 30-channel EEG from 10 healthy subjects over 3 sessions spaced approximately 48 hours apart…”
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Which fMRI clustering gives good brain parcellations? Autor Thirion, Bertrand, Varoquaux, Gaël, Dohmatob, Elvis, Poline, Jean-Baptiste

“… volume or on the cortical surface. While predefined brain atlases do not adapt to the signal in the individual subject images, parcellation approaches use brain activity (e.g…”
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Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm Autor Shen, Wei, Guo, Xiaopen, Wu, Chao, Wu, Desheng

“… We introduce the artificial fish swarm algorithm (AFSA) to optimize RBF. To increase forecasting efficiency, a K-means clustering algorithm is optimized by AFSA in the learning process of RBF…”
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A New-Fangled FES-k-Means Clustering Algorithm for Disease Discovery and Visual Analytics Autor Oyana, Tonny J

“…The central purpose of this study is to further evaluate the quality of the performance of a new algorithm. The study provides additional evidence on this…”
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Continuous theta-burst stimulation modulates resting-state EEG microstates in healthy subjects Autor Qiu, Shuang, Wang, Shengpei, Peng, Weiwei, Yi, Weibo, Zhang, Chuncheng, Zhang, Jing, He, Huiguang

“… (namely A, B, C, and D) using k-means clustering algorithms. cTBS-induced changes in NHPT performance, microstate dynamics…”
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Financial Distress Study Based on PSO K-Means Clustering Algorithm and Rough Set Theory Autor Wu, Peng, Liu, Cheng

“… Then PSO-based clustering algorithm K-means was used to divide subjects into 5 categories of different financial status…”
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Swarm Intelligence-Based Improved Adaptive Chirp Mode Decomposition Algorithm for Suppression of Ocular Artifacts from EEG Signal Autor Silpa, Bommala, Hota, Malaya Kumar

“…Electroencephalogram (EEG) signals are mostly contaminated with ocular artifacts (OAs) due to eye movements and eye blinks. These artifacts make the EEG…”
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Utilizing the K-Means Clustering Algorithm for Analyzing Student Achievement Assessment at SMK Negeri 1 Gowa Autor Andi Akram Nur Risal, Dyah Darma Andayani, Muh Ilham Suherman, Andi Baso Kaswar

“… The first cluster displays focused students who excel in a few key subjects (PPKN, Physics, Chemistry, and Math…”
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Analysis of Blended Learning Behaviour Based on K-Means Clustering Algorithm Autor Sun, Yue, Xiao, Wen

“… The objective of this study is to conduct a comprehensive analysis of the learning behavior data from 44 students specializing in computer-related subjects on the online platform of the "Introduction…”
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Identifying Subgroups of Major Depressive Disorder Using Brain Structural Covariance Networks and Mapping of Associated Clinical and Cognitive Variables Autor Yang, Xiao, Kumar, Poornima, Nickerson, Lisa D., Du, Yue, Wang, Min, Chen, Yayun, Li, Tao, Pizzagalli, Diego A., Ma, Xiaohong

“… K-means clustering algorithms were applied on dysregulated structural networks in MDD to identify potential MDD subtypes…”
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Machine learning for creation of generalized lumped parameter tank models of low temperature geothermal reservoir systems Autor Li, Y., Júlíusson, E., Pálsson, H., Stefánsson, H., Valfells, Á.

“…•Automating generation of tank models. The subject material should be of interest to reservoir engineers and operators of geothermal systems who are concerned with use of efficient modelling methods, optimal production planning…”
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Research on the Application of K-Means Clustering Algorithm in Student Achievement Autor Chi, Dianwei

“… in different clustering categories based on the performance of a single subject, the importance of courses can be predicted. Important courses can appropriately increase teachers or class hours. This provides scientific basis for better implementation of teaching reforms and revision of talent training programs…”
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Assessing Complexity in Physiological Systems through Biomedical Signals Analysis

“…Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization,…”
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Automatic Sleep Stage Classification by a Density - Distance- Based K - means Clustering Algorithm with Amendments Autor Yu, Ying, Wang, Bei, Jin, Jing, Wang, Xingyu

“… Unlike the traditional K-means clustering algorithm, density-distance-based processing procedures were presented to determine the cluster centers…”
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