Investigation on the clusterability of mixed variables based on simulated dataset from simmulticorrdata package / Norin Rahayu Shamsuddin and Nor Idayu Mahat

• Main Authors: Shamsuddin, Norin Rahayu, Mahat, Nor Idayu
• Format: Article
• Language: English
• Published: Universiti Teknologi MARA, Perak 2019
• Subjects: Analysis; Algorithms
• 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
• Institution: Universiti Teknologi Mara

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.