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Disease dietomics is an emerging area of systems biology that attempts to explore the connections between the dietary habits and diseases. Some of the topical studies highlight that foods might have different impacts over an organism either in progressing a disease (negative association) or in fighting against it (positive association). The association of foods with different diseases can be put together...
Most of the existing literatures use Euclidean distance based cluster validity measures in order to identify correct number of clusters for different datasets. It is a very important consideration for clustering. Symmetry can be considered as an important attribute for data clustering. It can be of two types, point symmetry and line symmetry. In this paper we have introduced a newly developed line...
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