Open AccessClassification of Student Faces in Assignment Presentation Video using Bezier Curve and K-Means Clustering Algorithm
Author(s) -
Sfenrianto Sfenrianto*,
Kaman Nainggolan,
Abdul Rohman
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7099.129219
Subject(s) - cluster analysis , bézier curve , presentation (obstetrics) , artificial intelligence , computer science , pattern recognition (psychology) , k means clustering , position (finance) , algorithm , mathematics , geometry , medicine , finance , economics , radiology
Grouping facial images can be used for various purposes with various algorithms. The purpose of this study was to determine the classification of students' facial images in the assignment presentation video using the Bezier Curve algorithm and K-Means Clustering. The results showed that the initial classification was still in a varied and uneven position. Then the final classification has a significantly different distribution for each cluster.