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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Main Authors: Purnomo, Muhammad Ridwan Andi, Saleh, Chairul, Lagaida, R.L., Hassan, Azmi
Format: Conference or Workshop Item
Language:English
English
Published: 2013
Subjects:
Online Access:http://irep.iium.edu.my/35265/7/azmi_mimec2013.pdf
http://irep.iium.edu.my/35265/10/azmi2.pdf
http://irep.iium.edu.my/35265/
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spelling my.iium.irep.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 REM 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.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic QA76 Computer software
T Technology (General)
spellingShingle 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/35265/7/azmi_mimec2013.pdf
http://irep.iium.edu.my/35265/10/azmi2.pdf
http://irep.iium.edu.my/35265/
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score 13.2442