An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood

Most clustering algorithms rely on the assumption that data simply contains numerical values. In fact, however, data sets containing both numerical and categorical attributes are ubiquitous in real-world tasks, and effective grouping of such data is an important yet challenging problem. Currently mo...

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