Geono-Cluster: Interactive Visual Cluster Analysis for Biologists

@article{Das2019GeonoClusterIV,
  title={Geono-Cluster: Interactive Visual Cluster Analysis for Biologists},
  author={Subhajit Das and Bahador Saket and Bum Chul Kwon and Alex Endert},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2019},
  volume={27},
  pages={4401-4412}
}
Biologists often perform clustering analysis to derive meaningful patterns, relationships, and structures from data instances and attributes. Though clustering plays a pivotal role in biologists’ data exploration, it takes non-trivial efforts for biologists to find the best grouping in their data using existing tools. Visual cluster analysis is currently performed either programmatically or through menus and dialogues in many tools, which require parameter adjustments over several steps of… 
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