scholarly journals A fuzzy c-means clustering approach for haplotype reconstruction based on minimum error correction

2021 ◽  
pp. 100646
Author(s):  
Mohammad Hossein Olyaee ◽  
Alireza Khanteymoori ◽  
Ebrahim Fazli
Keyword(s):  
Error Correction ◽  
Haplotype Reconstruction ◽  
Minimum Error ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Clustering Approach

An efficient Meta-cognitive Fuzzy C-Means clustering approach

2019 ◽  
Vol 85 ◽  
pp. 105838 ◽  
Author(s):  
S.V. Aruna Kumar ◽  
B.S. Harish ◽  
B.S. Mahanand ◽  
N. Sundararajan
Keyword(s):  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Clustering Approach

scholarly journals Single Individual Haplotype Reconstruction Using Fuzzy C-Means Clustering With Minimum Error Correction

2020 ◽  
Author(s):  
Mohammad Hossein Olyaee ◽  
Alireza Khanteymoori
Keyword(s):  
High Throughput Sequencing ◽  
Human Genetics ◽  
Conflict Graph ◽  
Single Individual ◽  
Haplotype Reconstruction ◽  
Fuzzy C Means ◽  
Complementary Role ◽  
Fuzzy C Means Clustering ◽  
Probable Relation

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.

A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image

2018 ◽  
Vol 78 (10) ◽  
pp. 12663-12687 ◽  
Author(s):  
Dhirendra Kumar ◽  
Hanuman Verma ◽  
Aparna Mehra ◽  
R. K. Agrawal
Keyword(s):  
Human Brain ◽  
Brain Mri ◽  
Fuzzy C Means ◽  
Intuitionistic Fuzzy ◽  
Fuzzy C Means Clustering ◽  
Clustering Approach ◽  
Mri Image
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