DocumentCode :
568370
Title :
Improving Visualization of Large Hierarchical Clustering
Author :
Bisson, Gilles ; Blanch, Renaud
Author_Institution :
LIG Lab., UJF - Grenoble 1, Grenoble, France
fYear :
2012
fDate :
11-13 July 2012
Firstpage :
220
Lastpage :
228
Abstract :
The classical representation of a binary tree generated by a hierarchical clustering is a node-link-based visualization denoted as a dendrogram. It allows users to explore in a simple way the clusters and the relationships between instances. However, exploration of large dendrograms is known to be difficult due to the graphical and cognitive information overload involved. Here, we discuss the current approaches and we introduce Stacked Trees, a new Focus+Context visualization technique that allows the exploration of the hierarchical clustering of up to fifty thousands nodes on a standard-sized screen.
Keywords :
chemistry computing; data visualisation; pattern clustering; tree data structures; binary tree; cognitive information overload; dendrograms; focus-plus-context visualization technique; graphical information overload; hierarchical clustering visualization improvement; node-link-based visualization; stacked trees; Chemicals; Color; Context; Data visualization; Layout; Prototypes; Vegetation; Chemoinformatics; Data Mining; Hierarchical Clustering; Large Hierarchies; Stacked Trees;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation (IV), 2012 16th International Conference on
Conference_Location :
Montpellier
ISSN :
1550-6037
Print_ISBN :
978-1-4673-2260-7
Type :
conf
DOI :
10.1109/IV.2012.45
Filename :
6295817
Link To Document :
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