6 citations · 12 across the 18 of their papers we have counts for
4 papers · 1 filter
How to Find a Good Explanation for Clustering?
Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach +3
-means and -median clustering are powerful unsupervised machine learning techniques. However, due to complicated dependences on all the features, it is challenging to interpr…
FPT Approximation for Fair Minimum-Load Clustering
Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach +2
In this paper, we consider the Minimum-Load -Clustering/Facility Location (MLkC) problem where we are given a set of points in a metric space that we have to cluster and…
Lossy Kernelization of Same-Size Clustering
Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach +2
In this work, we study the -median clustering problem with an additional equal-size constraint on the clusters, from the perspective of parameterized preprocessing. Our main res…
Parameterized Complexity of Feature Selection for Categorical Data Clustering
Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach +1
We develop new algorithmic methods with provable guarantees for feature selection in regard to categorical data clustering. While feature selection is one of the most common approa…