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20192021
most citedProviding Meaningful Data Summarizations Using Exemplar-based Clustering in Industry 4.0

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2020

Very Fast Streaming Submodular Function Maximization

Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler +1

Data summarization has become a valuable tool in understanding even terabytes of data. Due to their compelling theoretical properties, submodular functions have been in the focus o…

cs.LG2019

The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering

Sibylle Hess, Wouter Duivesteijn, Philipp Honysz +1

When it comes to clustering nonconvex shapes, two paradigms are used to find the most suitable clustering: minimum cut and maximum density. The most popular algorithms incorporatin…