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
Description
Welcome to IEEE Xplore 2.0: An interactive view for hierarchical clustering
%0 Conference Paper
%1 wills98visualization
%A Wills, G.J.
%B Information Visualization, 1998. Proceedings. IEEE Symposium on
%D 1998
%K research.clustering research.ir.visualization
%P 26-31, 150
%R 10.1109/INFVIS.1998.729556
%T An interactive view for hierarchical clustering
%U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=729556
%X 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
%@ 0-8186-9093-3
@inproceedings{wills98visualization,
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},
added-at = {2008-09-12T15:33:22.000+0200},
author = {Wills, G.J.},
biburl = {https://www.bibsonomy.org/bibtex/2a5ec6c1aa998faea9b4b0bc8a912f4fc/msn},
booktitle = {Information Visualization, 1998. Proceedings. IEEE Symposium on},
description = {Welcome to IEEE Xplore 2.0: An interactive view for hierarchical clustering},
doi = {10.1109/INFVIS.1998.729556},
interhash = {976a4e99715a210e47a72dabd8682ee9},
intrahash = {a5ec6c1aa998faea9b4b0bc8a912f4fc},
isbn = {0-8186-9093-3},
keywords = {research.clustering research.ir.visualization},
pages = {26-31, 150},
timestamp = {2009-06-25T15:59:29.000+0200},
title = {An interactive view for hierarchical clustering},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=729556},
year = 1998
}