Investigation on the clusterability of mixed variables based on 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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi MARA, Perak
2019
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| Online Access: | http://ir.uitm.edu.my/id/eprint/39313/1/39313.pdf http://ir.uitm.edu.my/id/eprint/39313/ https://mijournal.wixsite.com/index |
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| Institution: | Universiti Teknologi Mara |
| Language: | English |
| Summary: | 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. |
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