HIGHLIGHTS
- who: IJECE from the Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu have published the paper: International Journal of Electrical and Computer Engineering (IJECE), in the Journal: (JOURNAL) of Jul/16,/2021
- what: The aim of this Article Euclidean distance similarity to determine which method is the best for documents. Various similarity measures have been proposed for document clustering, but most of the research has focused on cosine similarity , , , -[41], rather than Euclidean distance -[32], . The authors explored and compared the performance of k-means and k-medoids algorithms using Euclidean distance for . . .
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