DETEKSI DATA PENCILAN MENGGUNAKAN K_MEANS CLUSTERING
| Main Author: | Widyastuti, Naniek |
|---|---|
| Format: | Article info eJournal |
| Terbitan: |
Jurnal Teknologi
, 2016
|
| Online Access: |
http://journal.akprind.ac.id/index.php/jurtek/article/view/431 |
Daftar Isi:
- Outlier detection is an extremely important task in a wide variety of application e g frand detection, identifying computer network intrusions and bottleneck, credit card fraud, criminal activities in e-commerce. In this paper we are concerned with outlier detection using K_means clustering. In this case number of cluster, is regarded as parameter and incrementally added until we get small cluster and regarded as a collection of outlier. Finally it is illustrated how this method work on sets of data. Key words : clustering, outlier, K_means