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9篇 您的检索式：作者名="Mohammad Fathian"

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		题名	作者	年代	出处	被引量
	1	Application of shuffled frog-leaping algorithm on clustering显示文摘	Babak Amiri Mohammad Fathian Ali Maroosi	2009	The International Journal of Advanced Manufacturing Technology2009，，1：	1
	2	Applica- tion of shuffled frog - leaping algorithm on clustering显示文摘	Babak Amiri Mohammad Fathian Mi Maroosi	2009	Adv Manuf Techno12009，，45：	1
	3	A honeybee-mating approach for cluster analysis显示文摘	Mohammad Fathian Babak Amiri Ali Maroosi	2009	The International Journal of Advanced Manufacturing Technology2009，，9：	1
	4	Application of shuffled frog-leaping algorithm on clustering显示文摘	Babak Amiri Mohammad Fathian Ali Maroosi	2009	The International Journal of Advanced Manufacturing Technology (-)2009，，1：	1
	5	A novel algorithm for on- tology matching 显示文摘	Ismail Akbari Mohammad Fathian	2010	Journal of Information Science2010，36，3：	1
	6	Application of shuffled frog - leaping algorithm on clustering 显示文摘	Babak Amiri Mohammad Fathian Ali Maroosi	2009	Adv Manuf Techno12009，45，：	1
	7	Application of shuffled frog-leaping algorithm on clustering显示文摘	Babak Amiri Mohammad Fathian Ali Maroosi		0，，：	1
	8	Application of shuffled frog-leaping algorithm on clustering显示文摘	Babak Amiri Mohammad Fathian Ali Maroosi	2009	Adv Manuf Technol2009，45，：	1
	9	A New Method for Clustering Based on Development of Imperialist Competitive Algorithm显示文摘Clustering is one of the most widely used data mining techniques that can be used to create homogeneous clusters.K-means is one of the popular clustering algorithms that,despite its inherent simplicity,has also some major problems.One way to resolve these problems and improve the k-means algorithm is the use of evolutionary algorithms in clustering.In this study,the Imperialist Competitive Algorithm(ICA) is developed and then used in the clustering process.Clustering of IRIS,Wine and CMC datasets using developed ICA and comparing them with the results of clustering by the original ICA,GA and PSO algorithms,demonstrate the improvement of Imperialist competitive algorithm.	Mohammad Reza Dehghani Zadeh Mohammad Fathian Mohammad Reza Gholamian	2014	China Communications2014，11，12：	0

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