Fuzzy clustering approach for star-structured multi-type relational data

Author(s):  
Jian-Ping Mei ◽  
Lihui Chen
Author(s):  
Yuchi Kanzawa ◽  

In this paper, an entropy-regularized fuzzy clustering approach for non-Euclidean relational data and indefinite kernel data is developed that has not previously been discussed. It is important because relational data and kernel data are not always Euclidean and positive semi-definite, respectively. It is theoretically determined that an entropy-regularized approach for both non-Euclidean relational data and indefinite kernel data can be applied without using a β-spread transformation, and that two other options make the clustering results crisp for both data types. These results are in contrast to those from the standard approach. Numerical experiments are employed to verify the theoretical results, and the clustering accuracy of three entropy-regularized approaches for non-Euclidean relational data, and three for indefinite kernel data, is compared.


Author(s):  
Weiping Ding ◽  
Shouvik Chakraborty ◽  
Kalyani Mali ◽  
Sankhadeep Chatterjee ◽  
Janmenjoy Nayak ◽  
...  

Author(s):  
Noureddine El Harchaoui ◽  
Samir Bara ◽  
Mounir Ait Kerroum ◽  
Ahmed Hammouch ◽  
Mohamed Ouadou ◽  
...  

Author(s):  
Nour-eddine El harchaoui ◽  
Samir Bara ◽  
Mounir Ait Kerroum ◽  
Ahmed Hammouch ◽  
Mohamed Ouaddou ◽  
...  

2002 ◽  
Vol 10 (6) ◽  
pp. 713-727 ◽  
Author(s):  
R.N. Dave ◽  
S. Sen

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