An Improve k-NN Classifier using Similarity Distance Plot-Data Reduction and Dask for Big Datasets

The k-Nearest Neighbour (k-NN) algorithm is one of the most widely used Instance-Based Learning methods due to its simplicity and ease of implementation. However, k-NN faces two major challenges, particularly when applied to large datasets. First, it requires substantial memory to store all training...

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Bibliographic Details

Main Author:	Abdul Muqtasid, Rushdi
Format:	Thesis
Language:	en en en
Published:	The International Journal of Computing and Digital Systems (IJCDS) 2025
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/51603/5/DOW_Abdul%20Muqtasid.pdf http://ir.unimas.my/id/eprint/51603/6/Thesis%20Ms_Abdul%20Muqtasid.pdf http://ir.unimas.my/id/eprint/51603/7/Thesis%20Ms_Abdul%20Muqtasid_24%20pages.pdf http://ir.unimas.my/id/eprint/51603/ https://journal.uob.edu.bh/items/d9950900-7e0b-4bce-ade3-a99ffdcebff3/full
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