A Method Based on K-Means and Fuzzy Algorithm for Industrial Load Identification

2012 ◽  
Author(s):  
Yicheng Huang ◽  
Honggeng Yang
Keyword(s):  
Load Identification ◽  
Fuzzy Algorithm

scholarly journals Research on Load Identification of Articulated Connector

2021 ◽  
Vol 1838 (1) ◽  
pp. 012071
Author(s):  
Zhongxiang Wang ◽  
Ning Zhu ◽  
Yi Yin ◽  
Maosheng He ◽  
Qiang Zhang
Keyword(s):  
Load Identification

Fuzzy Set Based Clustering Algorithm of Web Text

2014 ◽  
Vol 678 ◽  
pp. 19-22
Author(s):  
Hong Xin Wan ◽  
Yun Peng
Keyword(s):  
Key Words ◽  
Fuzzy Set ◽  
Clustering Algorithm ◽  
Text Clustering ◽  
Classification Methods ◽  
Comparative Experiment ◽  
Fuzzy Algorithm ◽  
Pattern Clustering ◽  
The Web ◽  
Computing Accuracy

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.

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