1 citations · 2 across the 4 of their papers we have counts for
4 papers
Sparse clustering via the Deterministic Information Bottleneck algorithm
Efthymios Costa, Ioanna Papatsouma, Angelos Markos
Cluster analysis relates to the task of assigning objects into groups which ideally present some desirable characteristics. When a cluster structure is confined to a subset of the…
A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
Efthymios Costa, Ioanna Papatsouma, Angelos Markos
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 proposed approa…
A general framework for implementing distances for categorical variables
Michel van de Velden, Alfonso Iodice D'Enza, Angelos Markos +1
The degree to which subjects differ from each other with respect to certain properties measured by a set of variables, plays an important role in many statistical methods. For exam…
Benchmarking distance-based partitioning methods for mixed-type data
Efthymios Costa, Ioanna Papatsouma, Angelos Markos
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…