Performance improvement in Resampling Based Clustering
| Main Author: | Aziz, Okta Qomaruddin |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Department of Informatics Engineering
, 2020
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| Subjects: | |
| Online Access: |
http://ejournal.uin-malang.ac.id/index.php/saintek/article/view/8918 http://ejournal.uin-malang.ac.id/index.php/saintek/article/view/8918/7731 |
Daftar Isi:
- Clustering is one of powerful technique to find a biological mechanism in gene expression. This technique identify a gene that has same expression. Using bootstrap method we can improve the quality of microarray, thus resampling based clustering (RC) is consider one of the improvement. RC use K-means clustering to determine initial parameter and need thousands of iteration to converge. Performance improvement can be done at preprocess, such as normalization and changing the initial parameter. Normalization can remove or lower the bias in microarray. The result show that normalization can improve the accuracy of RC. In addition, for parameter K, a lower value will lower the accuracy of this RC.