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A Comparison of Heuristics with Modularity Maximization Objective using Biological Data Sets
MATEC Web of Conferences
Finding groups of objects exhibiting similar patterns is an important data analytics task. Many disciplines have their own terminologies such as cluster, group, clique, community etc. defining the similar objects in a set. Adopting the term community, many exact and heuristic algorithms are developed to find the communities of interest in available data sets. Here, three heuristic algorithms to find communities are compared using five gene expression data sets. T he heuristics have a commondoi:10.1051/matecconf/20164205001 fatcat:zsp7f3m775e7lckdyurg4cb64e