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pro vyhledávání: '"Israa S. Kamil"'
Autor:
Safaa O. Al-Mamory, Israa S. Kamil
Publikováno v:
Materials Today: Proceedings. 80:2625-2630
Density-Based clustering are the main clustering algorithms because they can cluster data with different shapes and densities, but some of these algorithms have high time complexity like OPTICS (Ordering Points to Identify Clustering Structure) and D
Publikováno v:
Computers, Materials & Continua. 72:561-576
Publikováno v:
Webology. 18:972-981
Nowadays the use of mobile devices has increased dramatically as they have been integrated into different learning facilities. In this paper, the opinions of high school students and their teachers will be evaluated in order to get a better understan
Autor:
Israa S. Kamil, Safaa O. Al-Mamory
Publikováno v:
Malaysian Journal of Computer Science. 32:315-327
DBSCAN is one of the efficient density-based clustering algorithms. It is characterized by its ability to discover clusters with different shapes and sizes, and to separate noise and outliers. However, when the dataset contain different densities, DB