Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Hanita Binti Daud"'
Autor:
Iliyas Karim khan, Hanita Binti Daud, Nooraini binti Zainuddin, Rajalingam Sokkalingam, Abdussamad, Abdul Museeb, Agha Inayat
Publikováno v:
AIMS Mathematics, Vol 9, Iss 9, Pp 25070-25097 (2024)
Clustering is essential in data analysis, with K-means clustering being widely used for its simplicity and efficiency. However, several challenges can affect its performance, including the handling of outliers, the transformation of non-spherical dat
Externí odkaz:
https://doaj.org/article/94fc7905b1504cb8b4af16503b95f5d9
Autor:
Iliyas Karim Khan, Hanita Binti Daud, Nooraini Binti Zainuddin, Rajalingam Sokkalingam, Muhammad Farooq, Muzammil Elahi Baig, Gohar Ayub, Mudasar Zafar
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100504- (2024)
Unsupervised learning, particularly K-means clustering, seeks to partition data into clusters with distinct intra-class cohesion and inter-class disparity. However, the arbitrary selection of clusters in K-means introduces challenges, leading to tria
Externí odkaz:
https://doaj.org/article/8f4072d5331c4d8c8c8d2af96c8fda63
Publikováno v:
2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c6fbf9ac5e731d69913ccb2a36eae58
https://doi.org/10.23919/eecsi56542.2022.9946613
https://doi.org/10.23919/eecsi56542.2022.9946613