Malaria Detection Using Improved Fuzzy Algorithm

Author(s):  
Mukul Sharma ◽  
Rajat Mittal ◽  
Tanupriya Choudhury ◽  
Suresh Chand Satapathy ◽  
Praveen Kumar
Keyword(s):  
2014 ◽  
Vol 678 ◽  
pp. 19-22
Author(s):  
Hong Xin Wan ◽  
Yun Peng

Web text exists non-certain and non-structure contents ,and it is difficult to cluster the text by normal classification methods. We propose a web text clustering algorithm based on fuzzy set to increase the computing accuracy with the web text. After abstracting the key words of the text, we can look it as attributes and design the fuzzy algorithm to decide the membership of the words. The algorithm can improve the algorithm complexity of time and space, increase the robustness comparing to the normal algorithm. To test the accuracy and efficiency of the algorithm, we take the comparative experiment between pattern clustering and our algorithm. The experiment shows that our method has a better result.


2012 ◽  
Vol 22 (5) ◽  
pp. 1013-1022 ◽  
Author(s):  
D. Jude Hemanth ◽  
C. Kezi Selva Vijila ◽  
A. Immanuel Selvakumar ◽  
J. Anitha

2002 ◽  
Vol 32 (6) ◽  
pp. 435-444 ◽  
Author(s):  
İnan Güler ◽  
Fırat Hardalaç ◽  
Necaattin Barışçı

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