A Clustering Algorithm Based on Rough Set and Genetic Algorithm
Abstract
With the development of computer and information technology, the capacity of data and information is increasing. The processing of data and information becomes the hot issue in the current scientific community. Rough set and genetic algorithm are two data mining and processing technologies which had been commonly used. Rough set can process data quickly and the algorithm is simple. The convergence of genetic algorithm is fast and the robustness is good. This paper puts forward the effective clustering algorithm based on the combined control of rough set and genetic algorithm, then does simulation experiment of segmentation images by numerical simulation based on matlab programming, finally gets the curve of calculation process and the effect diagram of image segmentation , verifies the effectiveness of the algorithm.
Keywords
Rough Set, Genetic Algorithm, Clustering Algorithm, Data Mining, Image Processing
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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).