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 kcluster. The chromosome which...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Trans Tech Publications Ltd., Switzerland
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/37531/ http://irep.iium.edu.my/37531/ http://irep.iium.edu.my/37531/ http://irep.iium.edu.my/37531/1/AMM.606.277.pdf http://irep.iium.edu.my/37531/4/37531_Knowledge-based%20genetic%20algorithm%20for%20multidimensional%20data_SCOPUS.pdf |
| Summary: | 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 kcluster.
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. |
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