A new hybrid imperialist competitive algorithm on data clustering
نویسندگان
چکیده
منابع مشابه
An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering
Clustering techniques have received attention in many fields of study such as engineering, medicine, biology and data mining. The aim of clustering is to collect data points. The K-means algorithm is one of the most common techniques used for clustering. However, the results of K-means depend on the initial state and converge to local optima. In order to overcome local optima obstacles, a lot o...
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ژورنال
عنوان ژورنال: Sadhana
سال: 2011
ISSN: 0256-2499,0973-7677
DOI: 10.1007/s12046-011-0026-4