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pro vyhledávání: '"Costa, Efthymios"'
In this paper, we present an information-theoretic method for clustering mixed-type data, that is, data consisting of both continuous and categorical variables. The method is a variant of the Deterministic Information Bottleneck algorithm which optim
Externí odkaz:
http://arxiv.org/abs/2407.03389
Autor:
Costa, Efthymios, Papatsouma, Ioanna
Outlier detection can serve as an extremely important tool for researchers from a wide range of fields. From the sectors of banking and marketing to the social sciences and healthcare sectors, outlier detection techniques are very useful for identify
Externí odkaz:
http://arxiv.org/abs/2308.09562
Clustering mixed-type data, that is, observation by variable data that consist of both continuous and categorical variables poses novel challenges. Foremost among these challenges is the choice of the most appropriate clustering method for the data.
Externí odkaz:
http://arxiv.org/abs/2203.16287
Publikováno v:
Advances in Data Analysis & Classification; Sep2023, Vol. 17 Issue 3, p701-724, 24p