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

Athanasios Vogogias, Jessie Kennedy, Daniel Archambault, V. Anne Smith, Hannah Currant
2016 Computer Graphics and Visual Computing (CGVC)  
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  ...  In addition, alternative automated or semi-automated methods that cut dendrograms in multiple levels make assumptions about the data in hand.  ...  an earlier version of this paper, and Judit Urgelles for helping in curating the figures.  ... 
doi:10.2312/cgvc.20161288 dblp:conf/tpcg/VogogiasKASC16 fatcat:abhkq53dnjfdnnigfrdattly7a

Advances in network visualisation with an application to serious games

Jonathan Xiang-Sheng Zheng, Daniel Goodman, Samraat Pawar, UK Research And Innovation
2021
The second is the method of edge bundling, where the idea of hierarchical edge bundling is explored in the absence of a known ground truth hierarchy.  ...  This thesis concerns the visualisation of networks, through an in-depth study into the node-link diagram representation. Three subtopics are explored within this space.  ...  Figure 3 . 7 : 37 Drawings of the graphs in man driven, with methods such as MLCut of Vogogias et al. (2016) allowing dendrograms to be interactively explored and cut to form flat clusters.  ... 
doi:10.25560/88583 fatcat:mectiddgpjd2xd45gvopeq5izq