An efficient clustering algorithm in the presence on outlier and doubtful data
v ABSTRACT The presence of outlying observations is a common problem in most statistical analysis. This case is also true when using cluster analysis techniques. Cluster analysis basically detects homogeneous clusters with large heterogeneity among them. To deal with outliers, a correct procedure in...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/79401/1/MuhamadAliasPFS2015.pdf http://eprints.utm.my/id/eprint/79401/ |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |