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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| Format: | Thesis |
| Language: | en en en |
| Published: |
The International Journal of Computing and Digital Systems (IJCDS)
2025
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| 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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