A Dynamic Clustering Algorithm for Cloud Computing

2013 ◽  
Vol 12 (18) ◽  
pp. 4637-4641
Author(s):  
Zhongxue Yang ◽  
Xiaolin Qin ◽  
Wenrui Li ◽  
Yingjie Yang
2016 ◽  
Vol 29 (1) ◽  
pp. 279-293 ◽  
Author(s):  
Shafi’i Muhammad Abdulhamid ◽  
Muhammad Shafie Abd Latiff ◽  
Syed Hamid Hussain Madni ◽  
Mohammed Abdullahi

2014 ◽  
Vol 556-562 ◽  
pp. 3945-3948
Author(s):  
Xin Qing Geng ◽  
Hong Yan Yang ◽  
Feng Mei Tao

This paper applies the dynamic self-organizing maps algorithm to determining the number of clustering. The text eigenvector is acquired based on the vector space model (VSM) and TF.IDF method. The number of clustering acquired by the dynamic self-organizing maps. The threshold GT control the network’s growth.Compared to the traditional fuzzy clustering algorithm, the present algorithm possesses higher precision. The example demonstrates the effectiveness of the present algorithm.


Author(s):  
Shunxiang Wu ◽  
Junjie Yang ◽  
Wenchang Wei ◽  
Lihua Lin ◽  
Zhifeng Luo

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