Search Results - "K-Means clustering method"

Structure of Rise in Monthly Temperature in Europe as Estimated by Machine Learning

Authors: Anna Franczyk Robert Twardosz Adam Walanus

Source: Pure and Applied Geophysics. 182:2631-2653

Subject Terms: k-means clustering method, Europe, machine learning, air temperature rise

Access URL: https://ruj.uj.edu.pl/handle/item/558861

Towards sustainable cities

Authors: Menendez Agudin, Alvaro Caballini, Claudia Deflorio, Francesco Paolo et al.

Source: Sustainability, 27 str. : Ilustr., Vol. 17, iss. 7, [article no.] 3052, Apr.-1 2025
COBISS-ID: 5324897

Subject Terms: urbana trajnostna mobilnost, električna vozila, polnilna infrastruktura, kazalniki, gručenje, robustnost, metoda k-voditeljev, urban sustainable mobility, electric cars, charging infrastructures, KPIs, clusters, robustness, K-Means clustering method

Access URL: https://plus.cobiss.net/cobiss/si/en/bib/232223235
https://www.mdpi.com/2071-1050/17/7/3052

Las políticas públicas agrarias colombianas frente a las particularidades de las unidades productivas agrícolas: El caso de la hortofruticultura del Departamento de Antioquia

Authors: Salamanca Sanjuanes, Hernán Alonso Ortiz-Miranda, Dionisio Moreno-Pérez, Olga María et al.

Contributors: Salamanca Sanjuanes, Hernán Alonso Ortiz-Miranda, Dionisio Moreno-Pérez, Olga María et al.

Source: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Universitat Politècnica de València (UPV)
Economía Agraria y Recursos Naturales, Vol 24, Iss 2, Pp 209-239 (2024)

Subject Terms: Política sectorial, HD101-1395.5, Hortofrutícola, hortofrutícola, Sectoral policy, Método agrupación K-means, Economic growth, development, planning, Tipología explotaciones agrarias, 04 agricultural and veterinary sciences, Agricultural productive systems, política sectorial, 01 natural sciences, K-means clustering method, Farm typology, método agrupación k-means, sistemas productivos agrarios, tipología explotaciones agrarias, Land use, HD72-88, 0401 agriculture, forestry, and fisheries, Fruit and vegetables, Sistemas productivos agrarios, 0105 earth and related environmental sciences

File Description: application/pdf

Access URL: https://riunet.upv.es/handle/10251/213571
https://doaj.org/article/7e60047824ce42a4adb92ef0e202bdfc

Towards Sustainable Cities: A KPI-Based Method to Compare Cities’ Performance and Encourage the Spread of Electric Cars

Authors: Menendez Agudin, Alvaro Caballini, Claudia Deflorio, Francesco Paolo et al.

Contributors: Menendez Agudin, Alvaro Caballini, Claudia Deflorio, Francesco Paolo et al.

Subject Terms: electric car, charging infrastructure, KPI, cluster, robustne, K-Means clustering method

File Description: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001465746900001; volume:17; issue:7; numberofpages:27; journal:SUSTAINABILITY; https://hdl.handle.net/11583/2999054

Availability: https://hdl.handle.net/11583/2999054
https://doi.org/10.3390/su17073052
https://www.mdpi.com/2071-1050/17/7/3052

Clustering Analysis of Administrative Service Types Using K-Means (Study Case: Village bojongsalam)

Authors: Wafiq Azizah Ade Irma Purnamasari Agus Bahtiar et al.

Source: Journal of Artificial Intelligence and Engineering Applications (JAIEA); Vol. 4 No. 2 (2025): February 2025; 1303-1310 ; 2808-4519 ; 10.59934/jaiea.v4i2

Subject Terms: K-Means Clustering Method, Classification, Governance Services, Bojongsalam Community, Effectiveness

File Description: application/pdf

Relation: https://ioinformatic.org/index.php/JAIEA/article/view/867/628; https://ioinformatic.org/index.php/JAIEA/article/view/867

Availability: https://ioinformatic.org/index.php/JAIEA/article/view/867

On Solving 0/1 Multidimensional Knapsack Problem with a Genetic Algorithm Using a Selection Operator Based on K-Means Clustering Principle

Authors: Laabadi Soukaina Naimi Mohamed Amri Hassan El et al.

Source: Foundations of Computing and Decision Sciences, Vol 47, Iss 3, Pp 247-269 (2022)

Subject Terms: k-means clustering method, selection operator, Electronic computers. Computer science, genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, 0/1 multidimensional knapsack problem, QA75.5-76.95, 02 engineering and technology, optimization

Access URL: https://doaj.org/article/c91faeec8d884e21b5ce78f59abaa1bb

Evaluating Production Companies on Borsa Istanbul In Terms of Financial Indicators: Clustering Companies Using K-Means with the Silhouette Index and Elbow Method

Authors: Çiğdem Özarı Esin Nesrin Can

Source: Muhasebe Enstitüsü Dergisi, Iss 69, Pp 1-19 (2023)

Subject Terms: k-means clustering method, silhouette index, elbow method, financial indicators, Finance, HG1-9999

File Description: electronic resource

Relation: https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/58F2022BEB9C415083641FFD11F721CC; https://doaj.org/toc/2667-6982

Access URL: https://doaj.org/article/d4677c0ee5924a55b7e7472311d95bea

Colombian agrarian public policies in relation to the specificities of agricultural production units: the case of horticulture in the department of Antioquia

Authors: Salamanca Sanjuanes, Hernán Alonso Ortiz-Miranda, Dionisio Moreno-Péreza, Olga María et al.

Subject Terms: sistemas productivos agrarios, tipología explotaciones agrarias, sectoral policy, Agricultural and Food Policy, fruit and vegetables, hortofrutícola, Farm Management, agricultural productive systems, método agrupación K-means, política sectorial, K-means clustering method, farm typology

Electric Vehicle and Photovoltaic Power Scenario Generation under Extreme High-Temperature Weather

Authors: Xiaofei Li Chi Li Chen Jia

Source: World Electric Vehicle Journal, Vol 15, Iss 1, p 11 (2024)

Subject Terms: copula function, scenario generation, kernel density estimation method, K-means clustering method, scenario reduction, high-temperature weather, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280

Relation: https://www.mdpi.com/2032-6653/15/1/11; https://doaj.org/toc/2032-6653; https://doaj.org/article/dd80b3b65ea6409085f88d6e999753e6

Availability: https://doi.org/10.3390/wevj15010011
https://doaj.org/article/dd80b3b65ea6409085f88d6e999753e6

A Comparative Study of Mean Square Error, Dimensions, Signal to Noise Ratio of Colored and Non-Colored Clustered Original Images Along with Compressed Version After the Image Segmentation and Filtering Method

Authors: Abir Chakraborty orcid:0000-0002-6666-

Subject Terms: Rgb, Lab, Gray, Prewitt, Sobel, Canny Filtering, K-Means Clustering Method

Relation: https://zenodo.org/records/14001519; oai:zenodo.org:14001519; https://doi.org/10.54105/ijipr.F1032.04061024

Availability: https://doi.org/10.54105/ijipr.F1032.04061024
https://zenodo.org/records/14001519

Stroke Risk Factors in United States: An Analysis of the 2013–2018 National Health and Nutrition Examination Survey

Authors: Xinzheng Fu Zhouming Ren

Source: Int J Gen Med
International Journal of General Medicine, Vol Volume 14, Pp 6135-6147 (2021)

Subject Terms: k-means clustering method, Medicine (General), 03 medical and health sciences, R5-920, 0302 clinical medicine, diabetes, International Journal of General Medicine, hyperglycemia, Original Research, 3. Good health

File Description: text/html

Access URL: https://www.dovepress.com/getfile.php?fileID=74073
https://pubmed.ncbi.nlm.nih.gov/34611428
https://doaj.org/article/f1efca0e4fb149ccbffece844c877514
https://www.dovepress.com/stroke-risk-factors-in-united-states-an-analysis-of-the-20132018-natio-peer-reviewed-fulltext-article-IJGM
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487286/
https://www.dovepress.com/stroke-risk-factors-in-united-states-an-analysis-of-the-20132018-natio-peer-reviewed-fulltext-article-IJGM
https://www.dovepress.com/getfile.php?fileID=74073

Comparative-fuzzy Analysis of National Innovation Capability Based on Results of Dynamic Network DEA Model

Authors: Behrouz Dorri Nokorani Mohammad Ali Torabandeh Alireza Motameni et al.

Source: چشم‌انداز مدیریت صنعتی, Vol 11, Iss 2, Pp 207-246 (2021)

Subject Terms: k-means clustering method, dynamic network dea, fuzzy set qualitative comparative analysis, bibliometric analysis, 9. Industry and infrastructure, 0502 economics and business, 05 social sciences, Management. Industrial management, HD28-70, national innovation capability

Access URL: https://doaj.org/article/67f10cd860fb46d9a5dce7fed0dfd8eb
https://jimp.sbu.ac.ir/article_101163_d1850b110e80f20e4bf77a4cd7c38604.pdf
https://jimp.sbu.ac.ir/article_101163.html

Assessment Method of Comprehensive Energy Saving Potential of Distribution Network Considering Source-load Power Uncertainty

Authors: Zuoxiang YANG Jingjing WANG Jiang WU et al.

Source: Zhongguo dianli, Vol 55, Iss 8, Pp 151-156 (2022)

Subject Terms: distributed generation, output power uncertainty, k-means clustering method, energy saving potential evaluation, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

File Description: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202110021; https://doaj.org/toc/1004-9649

Access URL: https://doaj.org/article/780ea80218654c6398312ce233b2050c

Machine learning analysis reveals aberrant dynamic changes in amplitude of low-frequency fluctuations among patients with retinal detachment

Authors: Yu Ji Yuan-yuan Wang Qi Cheng et al.

Source: Front Neurosci
Frontiers in Neuroscience, Vol 17 (2023)

Subject Terms: k-means clustering method, retinal detachment, dynamic amplitude of low-frequency fluctuation, resting-state functional magnetic resonance imaging, brain region, Neurosciences. Biological psychiatry. Neuropsychiatry, sliding window, 3. Good health, RC321-571, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/37547140
https://doaj.org/article/9cc40a46195e426e8c2ae6fd5f427f2c

K-Ortalamalar Kümeleme Yöntemi Kullanılarak ALS Hastalarında Dikkatin Olaya İlişkin Potansiyel Sinyalleri İle İncelenmesi

Authors: ORHANBULUCU, Fırat LATİFOĞLU, Fatma BAŞ, Abdullah

Source: Avrupa Bilim ve Teknoloji Dergisi
European Journal of Science and Technology

Subject Terms: 03 medical and health sciences, Engineering, 0302 clinical medicine, Mühendislik, Dikkat, amyotrofik lateral skleroz, k-ortalamalar kümeleme yöntemi, olaya ilişkin potansiyel sinyalleri, elektroensefalogram, Attention, amyotrophic lateral sclerosis, k-means clustering method, event related potential signals, electroencephalogram

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/download/article-file/1027110
https://app.trdizin.gov.tr/makale/TXpZME9ERTFOUT09/k-ortalamalar-kumeleme-yontemi-kullanilarak-als-hastalarinda-dikkatin-olaya-iliskin-potansiyel-sinyalleri-ile-incelenmesi
https://dergipark.org.tr/en/download/article-file/1027110
https://dergipark.org.tr/tr/pub/ejosat/issue/53473/710953
https://dergipark.org.tr/tr/pub/ejosat/issue/53473/710953

Basic approaches to simulation of resist mask formation in computational lithography

Authors: Balan,Nikita N. Ivanov,Vladidmir V. Kuzovkov,Alexey V. et al.

Source: Modern Electronic Materials, Vol 6, Iss 1, Pp 37-45 (2020)
Modern Electronic Materials 6(1): 37-45

Subject Terms: 0209 industrial biotechnology, k-means clustering method, photoresist, TK7800-8360, 13. Climate action, 0103 physical sciences, VT5, CM1, 02 engineering and technology, Electronics, 01 natural sciences, projection photolithography

File Description: text/html

Access URL: https://moem.pensoft.net/article/55056/download/pdf/
https://doaj.org/article/9a1ea9daeeff40359a08786544559c7f
https://moem.pensoft.net/article/55056/
https://moem.pensoft.net/article/55056/download/pdf/

An Efficient Parameter Adaptive Support Vector Regression Using K-Means Clustering and Chaotic Slime Mould Algorithm

Authors: Ziyi Chen Wenbai Liu

Source: IEEE Access, Vol 8, Pp 156851-156862 (2020)

Subject Terms: Machine learning, forecasting problem, 0202 electrical engineering, electronic engineering, information engineering, chaotic slime mould algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, support vector regression, K-means clustering method, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09174730.pdf
https://doaj.org/article/5bc7aa2b4ebf454298178cc3199d7466
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202002212666488875
https://dblp.uni-trier.de/db/journals/access/access8.html#ChenL20c
https://ieeexplore.ieee.org/document/9174730/

Stroke Risk Factors in United States: An Analysis of the 2013–2018 National Health and Nutrition Examination Survey

Authors: Ren Z Fu X

Source: International Journal of General Medicine, Vol 14, Pp 6135-6147 (2021)

Subject Terms: diabetes, hyperglycemia, k-means clustering method, Medicine (General), R5-920

File Description: electronic resource

Relation: https://www.dovepress.com/stroke-risk-factors-in-united-states-an-analysis-of-the-20132018-natio-peer-reviewed-fulltext-article-IJGM; https://doaj.org/toc/1178-7074

Access URL: https://doaj.org/article/f1efca0e4fb149ccbffece844c877514

Image Processing Using Feature-Based Segmentation Techniques for the Analysis of Medical Images

Authors: Christodoss Prasanna Ranjith Krishnamoorthy Natarajan Sindhu Madhuri et al.

Source: Engineering Proceedings, Vol 59, Iss 1, p 100 (2023)

Subject Terms: IoT (Internet of Things), medical image processing, image segmentation, image registration, adaptive k-means clustering method, Engineering machinery, tools, and implements, TA213-215

Relation: https://www.mdpi.com/2673-4591/59/1/100; https://doaj.org/toc/2673-4591; https://doaj.org/article/d0e62eea73c74069864a4be865de6a20

Availability: https://doi.org/10.3390/engproc2023059100
https://doaj.org/article/d0e62eea73c74069864a4be865de6a20

Impact of Road Central Greening Configuration on Driver Eye Movements: A Study Based on Real Vehicle Experiments

Authors: Xiaoping Zhao Kai Shen Zhenlong Mo et al.

Source: Sustainability, Vol 15, Iss 24, p 16792 (2023)

Subject Terms: traffic safety, real vehicle test, road landscape, visual characteristics, K-means clustering method, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/15/24/16792; https://doaj.org/toc/2071-1050; https://doaj.org/article/b7ddd6b5108b4741b3f35f3bc27df1bc

Availability: https://doi.org/10.3390/su152416792
https://doaj.org/article/b7ddd6b5108b4741b3f35f3bc27df1bc