74 citations · 272 across the 40 of their papers we have counts for
5 papers · 1 filter
Efficient mixture model for clustering of sparse high dimensional binary data
Marek Śmieja, Krzysztof Hajto, Jacek Tabor
In this paper we propose a mixture model, SparseMix, for clustering of sparse high dimensional binary data, which connects model-based with centroid-based clustering. Every group i…
Spherical Wards clustering and generalized Voronoi diagrams
Marek Śmieja, Jacek Tabor
Gaussian mixture model is very useful in many practical problems. Nevertheless, it cannot be directly generalized to non Euclidean spaces. To overcome this problem we present a sph…
Semi-supervised model-based clustering with controlled clusters leakage
Marek Śmieja, Łukasz Struski, Jacek Tabor
In this paper, we focus on finding clusters in partially categorized data sets. We propose a semi-supervised version of Gaussian mixture model, called C3L, which retrieves natural…
Semi-supervised cross-entropy clustering with information bottleneck constraint
Marek Śmieja, Bernhard C. Geiger
In this paper, we propose a semi-supervised clustering method, CEC-IB, that models data with a set of Gaussian distributions and that retrieves clusters based on a partial labeling…
Pointed subspace approach to incomplete data
Łukasz Struski, Marek Śmieja, Jacek Tabor
Incomplete data are often represented as vectors with filled missing attributes joined with flag vectors indicating missing components. In this paper we generalize this approach an…