TY - JOUR
AU - Alethea Suryadibrata
AU - Julio Young
PY - 2020/07/02
Y2 - 2020/09/19
TI - Algorithm Visualization for Teaching K-Means Clustering
JF - Ultimatics : Jurnal Teknik Informatika
JA - TI
VL - 12
IS - 1
SE - Articles
DO - https://doi.org/10.31937/ti.v12i1.1523
UR - http://ejournals.umn.ac.id/index.php/TI/article/view/1523
AB - Algorithm Visualization (AV) is often used in computer science to represents how an algorithm works. Educators believe that visualization can help students to learn difficult algorithms. In this paper, we put our interest in visualizing one of Machine Learning (ML) algorithms. ML algorithms are used in various fields. Some of the algorithms are used to classify, predict, or cluster data. Unfortunately, many students find that ML algorithms are hard to learn since some of these algorithms include complicated mathematical equations. We hope this research can help computer science students to understand K-Means Clustering in an easier way.
ER -