A visual analytics tool for interactively comparing multiple clustering results of bioinformatics data based on the Visual Information Seeking Mantra. We build a taxonomy for categorizing existing techniques of clustering results visualization in terms of the Gestalt principles of grouping. Using the taxonomy, we choose the most appropriate interactive visualizations for presenting individual clustering results from different types of clustering algorithms.
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June, 2015 |
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| Techniques: | 2D, Network / hierarchy graph |
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Project development
This work and publication was partly supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government of MSIP (No. NRF-2014R1A2A2A03006998) and by the Korea government of MEST (No. 2011-0030813). BK (Kim) was supported by the Seoul National University Bundang Hospital Research Fund (No. 12-2013-017).
Last updated on 15th May, 2017
