A Comparative Study Of Classification And Clustering Model: The Effect Of Intelligence, Stress And Emotion On Student Learning
- DOI
- 10.2991/smichs-17.2017.56How to use a DOI?
- Keywords
- Classification, Clustering, intelligence, stress
- Abstract
Objective: a comparative study for effect of intelligence, stress and emotion on student learning in area department of students Sari Mulia School of Health Sciences.Technology or Method: This research uses the Experimental method, analyzed data by grouping the existing data based on emotional intelligence, stress level and achievement index as student learning, data analysis using classification and clustering model.Result: the result of research in this study is a comparative study k-means cluster and nearest neighbor algorithm to produce 3 groups of students based on emotional intelligence, stress level and achievement index. Conclusion: From the comparison result in this research is to know whether student learning data can be used classification and clustering model, comparative study k-means cluster and nearest neighbor algorithm. The best algorithm can use k-means cluster.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Finki Dona Marleny PY - 2017/12 DA - 2017/12 TI - A Comparative Study Of Classification And Clustering Model: The Effect Of Intelligence, Stress And Emotion On Student Learning BT - Proceedings of the 2nd Sari Mulia International Conference on Health and Sciences 2017 (SMICHS 2017) PB - Atlantis Press SP - 450 EP - 455 SN - 2468-5739 UR - https://doi.org/10.2991/smichs-17.2017.56 DO - 10.2991/smichs-17.2017.56 ID - DonaMarleny2017/12 ER -