Organized by: Juliette Griffié (EPFL), Daniel Nieves (University of Birmingham), Dylan Owen (University of Birmingham), Daniel Sage (EPFL)
Cluster Analysis Benchmarking
To method developers: A recent paper  published by D.J Nieves & D.M. Owen et al provides the tools for standardized benchmarking of state of the art and novel cluster analysis methods. In the context of SMLMS, we offer the opportunity to compare your method using both these data sets and metrics. You will find them below.
The data consists of spatial points pattern in the absence or presence of multiple blinking. For more information, join us on Slack.
Please, send us the results and metrics by August 23rd to be taken into consideration for the dedicated talk on benchmarking during the conference.
 https://doi.org/10.1101/2021.06.19.449098A framework for evaluating the performance of SMLM cluster analysis algorithms”, biorxiv, 2021.