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An ambiguous query in sequence databases returns a set of similar subsequences, called a mismatch cluster, to the user. The inherent problem is that it is difficult for users to identify the characteristics of very large similar subsequences in a mismatch cluster. In order to support user comprehension of mismatch clusters, it is important to extract a set of ambiguous sequence patterns with the least...
In this paper, we propose a method of overlapping clustering based on network structure analysis that improves the crisp clustering algorithm proposed by Newman et al. In the proposed technique, we cluster the nodes using Newman's algorithm. We then make a contraction graph in which a cluster is considered as a node. In addition, we cluster the created contraction graph using Newman's clustering algorithm...
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