Suryadibrata, Alethea and Young, Julio Cristian (2020) Visualisasi Algoritma sebagai Sarana Pembelajaran K-Means Clustering. Ultimatics : Jurnal Teknik Informatika, 12 (1). ISSN 2085-4552
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 12 Oct 2021 05:57 |
| Last Modified: | 12 Oct 2021 05:57 |
| URI: | https://kc.umn.ac.id/id/eprint/18688 |
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