In fully dynamic clustering problems, a clustering of a given data set i...
Machine learning is not readily accessible to domain experts from many
f...
Feature selection is the problem of selecting a subset of features for a...
Representative selection (RS) is the problem of finding a small subset o...
We present the first algorithm for fully dynamic k-centers clustering in...
We consider the classic 1-center problem: Given a set P of n points in a...
The community detection problem requires to cluster the nodes of a netwo...
Maximum weight matching is one of the most fundamental combinatorial
opt...
In the era of big data, learning from categorical features with very lar...
The knapsack problem is a fundamental problem in combinatorial
optimizat...
The k-cut problem asks, given a connected graph G and a positive integer...
Dynamic programming is a powerful technique that is, unfortunately, ofte...
Randomized composable coresets were introduced recently as an effective
...