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

Shamsuddin, Norin Rahayu and Mahat, Nor Idayu (2019) Investigation on the clusterability of mixed variables based on simulated dataset from simmulticorrdata package / Norin Rahayu Shamsuddin and Nor Idayu Mahat. Multidisciplinary Informatics Journal, 2 (2). pp. 98-108. ISSN 2637-0042

Abstract

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.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Shamsuddin, Norin Rahayu
norinrahayu@uitm.edu.my
Mahat, Nor Idayu
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis
Q Science > QA Mathematics > Philosophy > Mathematical logic > Constructive mathematics > Algorithms
Divisions: Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Multidisciplinary Informatics Journal
UiTM Journal Collections: Others > Multidisciplinary Informatics Journal - DISCONTINUE
ISSN: 2637-0042
Volume: 2
Number: 2
Page Range: pp. 98-108
Keywords: Clusterability; k-medoids; Mixed-variables; SimMultiCorrData
Date: December 2019
URI: https://ir.uitm.edu.my/id/eprint/39313
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