Designing cross-validation consensus clustering with reference point in determining the optimal number of clusters
Consensus clustering has an ability to overcome instability in estimating the number of clusters, k faced by traditional clustering approach. Consensus clustering offers better estimate by consolidating clustering results into an optimal value. However, the consensus clustering approach faced with t...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2022
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| Online Access: | https://etd.uum.edu.my/9744/1/permission%20to%20deposit-900985.pdf https://etd.uum.edu.my/9744/2/s900985_01.pdf https://etd.uum.edu.my/9744/ |
| Abstract | Abstract here |