Abstract:
A novel algorithm, the k-means clustering algorithm based on immune genetic algorithm (KMCIGA) is put forward. To improve the Genetic operators, the conception of concent...Show MoreMetadata
Abstract:
A novel algorithm, the k-means clustering algorithm based on immune genetic algorithm (KMCIGA) is put forward. To improve the Genetic operators, the conception of concentration in the immune algorithm and the dynamic chromosome coding are used. Strategies and methods of selecting vaccines and constructing an immune operator are also given. KMCIGA is illustrated to be obviously better than the traditional K-Means clustering algorithm in clustering division, and can improve the searching ability and adaptability, greatly increase the converging speed.
Published in: 2010 World Automation Congress
Date of Conference: 19-23 September 2010
Date Added to IEEE Xplore: 10 December 2010
ISBN Information:
ISSN Information:
Conference Location: Kobe, Japan