Block-Based K-Medoids Partitioning Method with Standardized Data to Improve Clustering Accuracy
Most of the existing k-medoid algorithms select the initial medoid randomly or use a specific formula based on the proximity matrix. This study proposes a block-based k- medoids partitioning method for clustering objects. To get the initial medoids, we search for an object representative from the b...
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| Main Authors: | , , , , |
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| Format: | Article PeerReviewed |
| Language: | English |
| Published: |
International Information and Engineering Technology Association (IIETA)
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/282735/1/Kariyam_PA.pdf https://repository.ugm.ac.id/282735/ http://iieta.org/journals/mmep https://doi.org/10.18280/mmep.090622 |
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| Institution: | Universitas Gadjah Mada |
| Language: | English |