Parvathavarthini S1,*, Karthikeyani Visalakshi N2, Shanthi S3, Madhan Mohan J4
Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 253-260, 2020, DOI:10.31209/2019.100000155
Abstract Intuitionistic fuzzy clustering allows the uncertainties in data to be represented
more precisely. Medical data usually possess a high degree of uncertainty and
serve as the right candidate to be represented as Intuitionistic fuzzy sets.
However, the selection of initial centroids plays a crucial role in determining the
resulting cluster structure. Crow search algorithm is hybridized with
Intuitionistic fuzzy C-means to attain better results than the existing hybrid
algorithms. Still, the performance of the algorithm needs improvement with
respect to the objective function and cluster indices especially with internal
indices. In order to address these issues, the crow search algorithm… More >
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