scholarly journals Determination of Multiple q Parameters for Fuzzy c-means Method Maximized with Tsallis Entropy

Author(s):  
Ryosuke OKACHI ◽  
Makoto YASUDA
2020 ◽  
Author(s):  
Mohammad Hossein Olyaee ◽  
Alireza Khanteymoori

AbstractEvolution of human genetics is one of the most interesting areas for researchers. Determination of Haplotypes not only makes valuable information for this purpose but also performs a major role in investigating the probable relation between diseases and genomes. Determining haplotypes by experimental methods is a time-consuming and expensive task. Recent progress in high throughput sequencing allows researchers to use computational methods for this purpose. Although, several algorithms have been proposed but they are less accurate when the error rate of input fragments increases. In this paper, first, a fuzzy conflict graph is constructed based on the similarities of all input fragments and next, the cluster centers are used as initial centers by fuzzy c-means (FCM) algorithm. The proposed method has been tested on several real datasets and compared with some current methods. The comparison with the existing approaches shows that our method can be a complementary role among the others.


2018 ◽  
Vol 2 (2) ◽  
pp. 76
Author(s):  
Sinta Tri Kismanti ◽  
Andi Ard Maidah

Indonesia as the island nation with territorial waters is one of the modes of transportation. For this condition, most of activities are conducted in marine, such as logistics distribution. The movement of logistics distribution will result in a movement pattern of the logistic. Determination of the optimal pattern of logistics movement network can support the smooth distribution system. Determination of logistic network patterns is done by clustering using Fuzzy C-means, clustering aims to get island groups in adjacent locations. The clustering process using Fuzzy C-Means obtained that the number of clusters as many as 3 clusters showed better results compared to the number of clusters 4 and 5.


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