iThenticate Article of Analysis of a cans waste classification system based on the CMYK color model using different metric distances on the k-means method

Resti, Yulia (2019) iThenticate Article of Analysis of a cans waste classification system based on the CMYK color model using different metric distances on the k-means method. FMIPA Universitas Sriwijaya.

Text 02_Conf_2019_Study_in_Development_of_Cans_Waste_Cl.pdf Download (1MB)

Abstract

This study aims to build and analyze a classification system of can waste based on Cyan, Magenta, Yellow, and Black (CMYK) digital image color model by implementing 3 different metric distances on the k-means method; Manhattan, Euclidean, and Minkowski. The classification results of experimental data note that the implementation of Euclidean distance on the k-means clustering method for classifying the cans waste into three can types has the highest accuracy, with a difference of not more than 1% from Minkowski distance and more than 19.6% from Manhattan distance. The simulation study of various size of generated data show that classification accuracy level using the three metric distances for both the lighting data have a rate less than 70%. The accuracy level of less than 70% in both experimental and simulation data, each of which implements three distances, can be said that this method is not appropriate for building a can classification system

Item Type:	Other
Subjects:	#3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Mr. Irsyadi Yani, S.T., M.Eng., Ph.D.
Date Deposited:	28 Apr 2023 16:06
Last Modified:	28 Apr 2023 16:06
URI:	http://repository.unsri.ac.id/id/eprint/97912

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