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Knowledge-based genetic algorithm for multidimensional data clustering

Purnomo, Muhammad Ridwan Andi and Saleh, Chairul and Lagaida, R.L. and Hassan, Azmi (2013) Knowledge-based genetic algorithm for multidimensional data clustering. In: 1st International Materials, Industrial, and Manufacturing Engineering Conference (MIMEC2013), 4-6 December 2013, Johor Bahru, Johor.

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In this paper, a new approach of genetic algorithm called knowledge-based Genetic Algorithm (KBGA-Clustering) is proposed for multidimensional data clustering. Basically, this method adopts knowledge of what called as appropriate cluster centre for a fixed number of k-cluster. The chromosome which has inappropriate genes will be penalised with maximum value to prohibit it in the next generation. The experimental result is also provided for KBGA-Clustering and Genetic Algorithm-Clustering (GA-Clustering) to present the performance. Based on the observation, KBGA-Clustering presents better performance and more optimum solution compared to conventional GA-Clustering.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 6946/35265
Uncontrolled Keywords: K-means;clustering;genetic algorithm;knowledge-based
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Azmi Bin Hassan
Date Deposited: 14 Jul 2014 11:04
Last Modified: 14 Jul 2014 11:05
URI: http://irep.iium.edu.my/id/eprint/35265

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