Optimized clustering with modified K-means algorithm
huge data is a big challenge. Clustering technique is able to find hidden patterns and to extract useful information from huge data. Among the techniques, the k-means algorithm is the most commonly used technique for determining optimal number of clusters (k). However, the choice of k is a prominent...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2021
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| Online Access: | https://etd.uum.edu.my/9556/1/depositpermission-not%20allow_s902303.pdf https://etd.uum.edu.my/9556/2/s902303_01.pdf https://etd.uum.edu.my/9556/3/s902303_02.pdf https://etd.uum.edu.my/9556/ |
| Abstract | Abstract here |