DocumentCode :
2331746
Title :
An interactive view for hierarchical clustering
Author :
Wills, Graham J.
Author_Institution :
Lucent Technol., AT&T Bell Labs., Naperville, IL, USA
fYear :
1998
fDate :
19-20 Oct 1998
Firstpage :
26
Abstract :
The paper describes a visualization of a general hierarchical clustering algorithm that allows the user to manipulate the number of classes produced by the clustering method without requiring a radical re-drawing of the clustering tree. The visual method used, a space filling recursive division of a rectangular area, keeps the items under consideration at the same screen position, even while the number of classes is under interactive control. As well as presenting a compact representation of the clustering with different cluster numbers, this method is particularly useful in a linked views environment where additional information can be added to a display to encode other information, without this added level of detail being perturbed when changes are made to the number of clusters
Keywords :
data analysis; interactive systems; pattern clustering; program visualisation; cluster numbers; clustering method; clustering tree; compact representation; hierarchical clustering; interactive control; interactive view; linked views environment; radical re-drawing; rectangular area; space filling recursive division; visual method; visualization; Algorithm design and analysis; Animals; Binary trees; Clustering algorithms; Data analysis; Electronic mail; Identity-based encryption; Iris; Leg; Length measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 1998. Proceedings. IEEE Symposium on
Conference_Location :
Research Triangle, CA
Print_ISBN :
0-8186-9093-3
Type :
conf
DOI :
10.1109/INFVIS.1998.729556
Filename :
729556
Link To Document :
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