Investigation on the clusterability of mixed variables basedon simulated dataset from simmulticorrdata package / Norin Rahayu Shamsuddin and Nor Idayu Mahat
Mixed-type variables gain significant attention in clustering as widely observed in real datasets. The construction of clustering or clusterability of mixed dataset seems hard to form owing to a different scale in data. The current paper assessed the impact of clusters structures that developed from...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Kitap |
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Universiti Teknologi MARA, Perak,
2019-12.
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| Online Erişim: | Link Metadata |
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| LEADER | 00000 am a22000003u 4500 | ||
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| 001 | repouitm_39313 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Shamsuddin, Norin Rahayu |e author |
| 700 | 1 | 0 | |a Mahat, Nor Idayu |e author |
| 245 | 0 | 0 | |a Investigation on the clusterability of mixed variables basedon simulated dataset from simmulticorrdata package / Norin Rahayu Shamsuddin and Nor Idayu Mahat |
| 260 | |b Universiti Teknologi MARA, Perak, |c 2019-12. | ||
| 500 | |a https://ir.uitm.edu.my/id/eprint/39313/1/39313.pdf | ||
| 520 | |a Mixed-type variables gain significant attention in clustering as widely observed in real datasets. The construction of clustering or clusterability of mixed dataset seems hard to form owing to a different scale in data. The current paper assessed the impact of clusters structures that developed from simulation data of mixed data types derived from different distributions through the R package SimMultiCorrData that mimics the real-world scenario. This particular package was therefore adopted to acquire mixed variables simulation data and investigated the clusterability of mixed variables in a dataset. | ||
| 546 | |a en | ||
| 690 | |a Analysis | ||
| 690 | |a Algorithms | ||
| 655 | 7 | |a Article |2 local | |
| 655 | 7 | |a PeerReviewed |2 local | |
| 787 | 0 | |n https://ir.uitm.edu.my/id/eprint/39313/ | |
| 787 | 0 | |n https://mijournal.wixsite.com/ | |
| 856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/39313/ |z Link Metadata |