The K-Means Clustering Algorithm With Semantic Similarity To Estimate The Cost of Hospitalization
The cost of hospitalization from a patient can be estimated by performing a cluster of patient. One of the algorithms that is widely used for clustering is K-means. K-means algorithm, based on distance still has weaknesses in terms of measuring the proximity of meaning or semantics between data. To...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Gadjah Mada
2019-10-01
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| Series: | IJCCS (Indonesian Journal of Computing and Cybernetics Systems) |
| Subjects: | |
| Online Access: | https://jurnal.ugm.ac.id/ijccs/article/view/45093 |