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