Knowledge-based genetic algorithm for multidimensional data clustering
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...
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iium-352652014-07-14T03:05:25Z http://irep.iium.edu.my/35265/ Knowledge-based genetic algorithm for multidimensional data clustering Purnomo, Muhammad Ridwan Andi Saleh, Chairul Lagaida, R.L. Hassan, Azmi QA76 Computer software T Technology (General) 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. 2013-12-04 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/35265/7/azmi_mimec2013.pdf application/pdf en http://irep.iium.edu.my/35265/10/azmi2.pdf 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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International Islamic University Malaysia |
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English English |
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QA76 Computer software T Technology (General) |
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QA76 Computer software T Technology (General) Purnomo, Muhammad Ridwan Andi Saleh, Chairul Lagaida, R.L. Hassan, Azmi Knowledge-based genetic algorithm for multidimensional data clustering |
description |
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. |
format |
Conference or Workshop Item |
author |
Purnomo, Muhammad Ridwan Andi Saleh, Chairul Lagaida, R.L. Hassan, Azmi |
author_facet |
Purnomo, Muhammad Ridwan Andi Saleh, Chairul Lagaida, R.L. Hassan, Azmi |
author_sort |
Purnomo, Muhammad Ridwan Andi |
title |
Knowledge-based genetic algorithm for multidimensional data clustering |
title_short |
Knowledge-based genetic algorithm for multidimensional data clustering |
title_full |
Knowledge-based genetic algorithm for multidimensional data clustering |
title_fullStr |
Knowledge-based genetic algorithm for multidimensional data clustering |
title_full_unstemmed |
Knowledge-based genetic algorithm for multidimensional data clustering |
title_sort |
knowledge-based genetic algorithm for multidimensional data clustering |
publishDate |
2013 |
url |
http://irep.iium.edu.my/35265/ http://irep.iium.edu.my/35265/7/azmi_mimec2013.pdf http://irep.iium.edu.my/35265/10/azmi2.pdf |
first_indexed |
2023-09-18T20:50:36Z |
last_indexed |
2023-09-18T20:50:36Z |
_version_ |
1777409968032448512 |