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Clustering is one of the data mining methods that partition large-sized data into subgroups according to their similarities. K-means clustering algorithm works well in spherical or convex data distribution of large-sized data sets. Most of the algori
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02fff1aa9737d3c674d1fe7d2b8e15b1
https://avesis.erciyes.edu.tr/publication/details/6450be8f-7fb3-4b53-81d5-5310ab46ae41/oai
https://avesis.erciyes.edu.tr/publication/details/6450be8f-7fb3-4b53-81d5-5310ab46ae41/oai
© 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.Passenger demand forecasting is of great importance to the on-demand ride systems. With the accurate forecasting of demand, it can be determined f
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b2a295966e336fb0c40852152926fa0
https://avesis.kayseri.edu.tr/publication/details/e1bc0f98-60e5-47e0-a56f-5b9882728792/oai
https://avesis.kayseri.edu.tr/publication/details/e1bc0f98-60e5-47e0-a56f-5b9882728792/oai