ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings

no code implementations • 1 Jun 2021 • Mostafa M. Abbas, Ehsan Ullah, Abdelkader Baggag, Halima Bensmail, Michael Sedlmair, Michaël Aupetit

We propose a new VQM for visual grouping patterns in scatterplots, called ClustML, which is trained on previously collected human subject judgments.

Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries

no code implementations • 13 Dec 2019 • Mustafa Coskun, Abdelkader Baggag, Mehmet Koyuturk

We also show that this acceleration in the computation of Katz index can be used to drastically improve the efficiency of processing link prediction queries in very large networks.

Collaborative Filtering Link Prediction