2 citations · 3 across the 4 of their papers we have counts for
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cs.LG2016
On Coreset Constructions for the Fuzzy -Means Problem
Johannes Blömer, Sascha Brauer, Kathrin Bujna
The fuzzy -means problem is a popular generalization of the well-known -means problem to soft clusterings. We present the first coresets for fuzzy -means with size linear…
cs.LG2016★ 2 cited
Hard-Clustering with Gaussian Mixture Models
Johannes Blömer, Sascha Brauer, Kathrin Bujna
Training the parameters of statistical models to describe a given data set is a central task in the field of data mining and machine learning. A very popular and powerful way of pa…
cs.LG2015★ 1 cited
Complexity and Approximation of the Fuzzy K-Means Problem
Johannes Blömer, Sascha Brauer, Kathrin Bujna
The fuzzy -means problem is a generalization of the classical -means problem to soft clusterings, i.e. clusterings where each points belongs to each cluster to some degree. A…