Clustering based feature selection using Partitioning Around Medoids (PAM)
High-dimensional data contains a large number of features. With many features, high dimensional data requires immense computational resources, including space and time. Several studies indicate that not all features of high dimensional data are relevant to classification result. Dimensionality reduc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2020-05-01
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| Series: | Jurnal Informatika |
| Subjects: | |
| Online Access: | http://journal.uad.ac.id/index.php/JIFO/article/view/17620 |