A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images

1999 ◽  
Vol 17 (7) ◽  
pp. 1065-1076 ◽  
Author(s):  
J. Suckling ◽  
T. Sigmundsson ◽  
K. Greenwood ◽  
E.T. Bullmore
Keyword(s):  
Brain Tissue ◽  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Mr Images ◽  
Tissue Classification ◽  
Fuzzy Clustering Algorithm ◽  
Dual Echo

Classification of Ship’ Magnetic Field and Feature Selection Based on the Improved Weighted Fuzzy Clustering Algorithm

2013 ◽  
Vol 401-403 ◽  
pp. 1353-1357
Author(s):  
Wu Di Wen ◽  
Zhong Le Liu ◽  
Zhi Qiang Zhang
Keyword(s):  
Magnetic Field ◽  
Feature Selection ◽  
Objective Function ◽  
Fuzzy Clustering ◽  
Field Data ◽  
Clustering Algorithm ◽  
Magnetic Field Data ◽  
Fuzzy Clustering Algorithm ◽  
Improved Algorithm

Magnetic field data of ship has three-component,and traditional weighted fuzzy clustering algorithm(FCA) can’t deal with the three-component data. We improve the traditional FCA by changing the objective function and added weights calculation of three-component of magnetic field in the function.Give the equation to compute the weights of three-component.Put forward new steps for improved algorithm.Use ships’ data to test the improved algorithm and giving the conclusion.

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