Identification of Tuberculosis Patient Characteristics Using K-Means Clustering
In Indonesia, tuberculosis remains one of the major health problems unresolved. Indonesia is second ranked in the world as the country with the most tuberculosis cases. The purpose of this research is to study how K-means clustering applied to the treatment of tuberculosis patients data in order to...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Negeri Semarang
2016-11-01
|
| Series: | Scientific Journal of Informatics |
| Subjects: | |
| Online Access: | http://journal.unnes.ac.id/sju/index.php/sji/article/view/7909 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
