Improving the Robustness of ‘Online Agglomerative Clustering Method’ Based on Kernel-Induce Distance Measures

Author： Zhang Daoqiang   Zhang Daoqiang   Chen Songcan   Tan Keren   Tan Keren  

Publisher： Springer Publishing Company

ISSN： 1370-4621

Source： Neural Processing Letters, Vol.21, Iss.1, 2005-02, pp. : 45-51

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Analysis of Agglomerative Clustering

By Ackermann Marcel   Blömer Johannes   Kuntze Daniel   Sohler Christian  

Algorithmica, Vol. 69, Iss. 1, 2014-05 ,pp. : 184-215

Springer Publishing Company

Access to resources Recommend Favorite

Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm

By Zhang Dao-Qiang   Chen Song-Can  

Neural Processing Letters, Vol. 18, Iss. 3, 2003-12 ,pp. : 155-162

Springer Publishing Company

Access to resources Recommend Favorite

Analysing and improving clustering based sampling for microprocessor simulation

By Luo Yue   Joshi Ajay   Phansalkar Aashish   John Lizy   Ghosh Joydeep  

International Journal of High Performance Computing and Networking, Vol. 5, Iss. 4, 2008-12 ,pp. : 200-214

Inderscience Publishers

Access to resources Recommend Favorite

Fuzzy clustering method based on perturbation

By He Q.   Li H.-X.   Shi Z.-Z.   Lee E.S.  

Computers and Mathematics with Applications, Vol. 46, Iss. 5, 2003-09 ,pp. : 929-946

Elsevier

Access to resources Recommend Favorite

Distance measures based on the edit distance for permutation-type representations

By Sörensen Kenneth  

Journal of Heuristics, Vol. 13, Iss. 1, 2007-02 ,pp. : 35-47

Springer Publishing Company

Access to resources Recommend Favorite