XCluSim: a visual analytics tool for interactively comparing multiple clustering results of bioinformatics data

@inproceedings{LYi2015XCluSimAV,
  title={XCluSim: a visual analytics tool for interactively comparing multiple clustering results of bioinformatics data},
  author={Sehi L'Yi and Bongkyung Ko and Donghwa Shin and Young-Joon Cho and Jaeyong Lee and Bohyoung Kim and Jinwook Seo},
  booktitle={BMC Bioinformatics},
  year={2015}
}
Though cluster analysis has become a routine analytic task for bioinformatics research, it is still arduous for researchers to assess the quality of a clustering result. To select the best clustering method and its parameters for a dataset, researchers have to run multiple clustering algorithms and compare them. However, such a comparison task with multiple clustering results is cognitively demanding and laborious. In this paper, we present XCluSim, a visual analytics tool that enables users to… CONTINUE READING
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