An improvement algoithm for Iris classification by using Linear Support Vector Machine (LSVM), k-Nearest Neighbours (k-NN) and Random Nearest Neighbous (RNN) / Ahmad Haadzal Kamarulzalis and Mohd Asrul Affendi Abdullah

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An improvement algoithm for Iris classification by using Linear Support Vector Machine (LSVM), k-Nearest Neighbours (k-NN) and Random Nearest Neighbous (RNN) / Ahmad Haadzal Kamarulzalis and Mohd Asrul Affendi Abdullah

In machine learning, there are three type of learning branch that can used in classification procedures for data mining. Those branchconsist of supervised learning, unsupervised learning and reinforcement learning. This study focuses on supervised learning that seek to classif...

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Bibliographic Details
Main Authors:	Kamarulzalis, Ahmad Haadzal, Abdullah, Mohd Asrul Affendi
Format:	Article
Language:	English
Published:	Unit Penerbitan UiTM Kelantan 2019
Subjects:	Data processing Data mining
Online Access:	https://ir.uitm.edu.my/id/eprint/29220/

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