ClusterNet: A Perception-Based Clustering Model for Scattered Data

arXiv:2304.14185v3 Announce Type: replace
Abstract: Visualizations for scattered data are used to make users understand certain attributes of their data by solving different tasks, e.g. correlation estimation, outlier detection, cluster separation. In this paper, we focus on the later task, and develop a technique that is aligned to human perception, that can be used to understand how human subjects perceive clusterings in scattered data and possibly optimize for better understanding. Cluster separation in scatterplots is a task that is typically …

abstract arxiv cluster clustering correlation cs.hc cs.lg data detection focus human outlier paper perception tasks type