A Particle Swarm Optimization-based Clustering for NonMetric Data

Astanti, Ririn Diar and Ai, The Jin (2017) A Particle Swarm Optimization-based Clustering for NonMetric Data. In: 18Th Asia Pacific Industrial Engineering and Management System Conference (APIEMS2017), 3 - 6 December 2017, Hyatt Regency, Yogyakarta, Indonesia.

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Advance development of information technology enables an organization to get their transaction data easily or it is called as a big data era. The data they have are meaningless unless there is an effort to mine those data to be valuable information that can be used for the managerial level to make a decision. One of the methods to mine the data is clustering technique. To the best of author knowledge there are many researches have been found dealing with clustering metrics for metric data however there is limited research dealing with clustering technique for nonmetric data. This paper proposes Particle Swarm Optimization (PSO)- based clustering for non-metric data.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: big data, clustering, non-metric, particle swarm optimization
Subjects: Industrial Engineering > Production and Inventory Management
Divisions: Fakultas Teknologi Industri > Teknik Industri
Depositing User: Editor UAJY
Date Deposited: 08 Oct 2018 06:47
Last Modified: 16 Aug 2019 06:49
URI: http://e-journal.uajy.ac.id/id/eprint/15952

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