2 citations · 2 across the 3 of their papers we have counts for
4 papers
Providing Meaningful Data Summarizations Using Exemplar-based Clustering in Industry 4.0
Philipp-Jan Honysz, Alexander Schulze-Struchtrup, Sebastian Buschjäger +1
Data summarizations are a valuable tool to derive knowledge from large data streams and have proven their usefulness in a great number of applications. Summaries can be found by op…
GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering
Philipp-Jan Honysz, Sebastian Buschjäger, Katharina Morik
The optimization of submodular functions constitutes a viable way to perform clustering. Strong approximation guarantees and feasible optimization w.r.t. streaming data make this c…
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…
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…