5 citations · 5 across the 4 of their papers we have counts for
4 papers
A Unifying Family of Data-Adaptive Partitioning Algorithms
Guy B. Oldaker, Maria Emelianenko
Clustering algorithms remain valuable tools for grouping and summarizing the most important aspects of data. Example areas where this is the case include image segmentation, dimens…
On the Optimality of CVOD-based Column Selection
Maria Emelianenko, Guy B. Oldaker
While there exists a rich array of matrix column subset selection problem (CSSP) algorithms for use with interpolative and CUR-type decompositions, their use can often become prohi…
Adaptive Voronoi-based Column Selection Methods for Interpretable Dimensionality Reduction
Maria Emelianenko, Guy B. Oldaker
In data analysis, there continues to be a need for interpretable dimensionality reduction methods whereby instrinic meaning associated with the data is retained in the reduced spac…
Quantum-Assisted Clustering Algorithms for NISQ-Era Devices
Samuel S. Mendelson, Robert W. Strand, Guy B. Oldaker +1
In the NISQ-era of quantum computing, we should not expect to see quantum devices that provide an exponential improvement in runtime for practical problems, due to the lack of erro…