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    MLCut: Exploring Multi-Level Cuts in Dendrograms for Biological Data

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    Date
    2016
    Author
    Vogogias, Athanasios
    Kennedy, Jessie
    Archambault, Daniel ORCID
    Smith, V. Anne
    Currant, Hannah
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    Abstract
    Choosing a single similarity threshold for cutting dendrograms is not sufficient for performing hierarchical clustering analysis of heterogeneous data sets. In addition, alternative automated or semi-automated methods that cut dendrograms in multiple levels make assumptions about the data in hand. In an attempt to help the user to find patterns in the data and resolve ambiguities in cluster assignments, we developed MLCut: a tool that provides visual support for exploring dendrograms of heterogeneous data sets in different levels of detail. The interactive exploration of the dendrogram is coordinated with a representation of the original data, shown as parallel coordinates. The tool supports three analysis steps. Firstly, a single-height similarity threshold can be applied using a dynamic slider to identify the main clusters. Secondly, a distinctiveness threshold can be applied using a second dynamic slider to identify ''weak-edges'' that indicate heterogeneity within clusters. Thirdly, the user can drill-down to further explore the dendrogram structure - always in relation to the original data - and cut the branches of the tree at multiple levels. Interactive drill-down is supported using mouse events such as hovering, pointing and clicking on elements of the dendrogram. Two prototypes of this tool have been developed in collaboration with a group of biologists for analysing their own data sets. We found that enabling the users to cut the tree at multiple levels, while viewing the effect in the original data, is a promising method for clustering which could lead to scientific discoveries.
    BibTeX
    @inproceedings {10.2312:cgvc.20161288,
    booktitle = {Computer Graphics and Visual Computing (CGVC)},
    editor = {Cagatay Turkay and Tao Ruan Wan},
    title = {{MLCut: Exploring Multi-Level Cuts in Dendrograms for Biological Data}},
    author = {Vogogias, Athanasios and Kennedy, Jessie and Archambault, Daniel and Smith, V. Anne and Currant, Hannah},
    year = {2016},
    publisher = {The Eurographics Association},
    ISSN = {-},
    ISBN = {978-3-03868-022-2},
    DOI = {10.2312/cgvc.20161288}
    }
    URI
    http://dx.doi.org/10.2312/cgvc.20161288
    https://diglib.eg.org:443/handle/10.2312/cgvc20161288
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA