Fuzzy C-Means Clustering Technique Applied for Modeling Parameters of an Intelligent Greenhouse Open Control System

Author(s):  
Paul Cepeda ◽  
Pedro Ponce ◽  
David Romero ◽  
Arturo Molina
2012 ◽  
Vol 4 (12) ◽  
pp. 32-40
Author(s):  
Satyendra Nath Mandal ◽  
Suhit Sinha ◽  
Saptarisha Chatterjee ◽  
Sankha Subhra Mullick ◽  
Sriparna Das

2020 ◽  
Vol 89 ◽  
pp. 103435 ◽  
Author(s):  
Priyanka D. Pantula ◽  
Srinivas S. Miriyala ◽  
Kishalay Mitra

Author(s):  
ANNETTE KELLER ◽  
FRANK KLAWONN

We introduce an objective function-based fuzzy clustering technique that assigns one influence parameter to each single data variable for each cluster. Our method is not only suited to detect structures or groups of data that are not uniformly distributed over the structure's single domains, but gives also information about the influence of individual variables on the detected groups. In addition, our approach can be seen as a generalization of the well-known fuzzy c-means clustering algorithm.


Information ◽  
2017 ◽  
Vol 8 (2) ◽  
pp. 49 ◽  
Author(s):  
Leonardo Rundo ◽  
Carmelo Militello ◽  
Giorgio Russo ◽  
Antonio Garufi ◽  
Salvatore Vitabile ◽  
...  

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