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Modeling and simulation of a K-means clustering algorithm in MATLAB and Python

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dc.contributor.advisor ADOCHIEI, Felix Constantin
dc.contributor.author DUȚĂ, Ștefana
dc.contributor.author DOROBANȚU, Laura-Elena
dc.contributor.author RADU, Dan-Gabriel
dc.date.accessioned 2023-09-06T07:43:40Z
dc.date.available 2023-09-06T07:43:40Z
dc.date.issued 2023
dc.identifier.citation DUȚĂ, Ștefana, DOROBANȚU, Laura-Elena, RADU, Dan-Gabriel. Modeling and simulation of a K-means clustering algorithm in MATLAB and Python. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor, Universitatea Tehnică a Moldovei, 5-7 aprilie 2023. Chișinău, 2023, vol. 1, pp. 228-232. ISBN 978-9975-45-956-3. ISBN 978-9975-45-957-0 (Vol.1). en_US
dc.identifier.isbn 978-9975-45-956-3
dc.identifier.isbn 978-9975-45-957-0
dc.identifier.uri http://repository.utm.md/handle/5014/23761
dc.description.abstract This paper presents an analysis of the K-means algorithm, a popular unsupervised learning technique used for clustering data based on similar features. For this, the implementation and performance of the K-means algorithm were compared in the Python and MATLAB programming languages. In addition, modeling and simulation of the algorithm were performed to compare the computation time and clustering quality in the two languages. The experimental results demonstrate that the K-means algorithm is a powerful tool for data clustering and can be used effectively in various applications. Although both Python and MATLAB are languages capable of efficiently implementing the K-means algorithm, MATLAB resulted in a shorter computation time. en_US
dc.language.iso en en_US
dc.publisher Universitatea Tehnică a Moldovei en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject K-means algorithm en_US
dc.subject MATLAB en_US
dc.subject Python en_US
dc.subject modeling algorithms en_US
dc.subject simulation algorithms en_US
dc.title Modeling and simulation of a K-means clustering algorithm in MATLAB and Python en_US
dc.type Article en_US


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