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» Detection and Visualization of Subspace Cluster Hierarchies
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DASFAA
2007
IEEE
199views Database» more  DASFAA 2007»
9 years 10 months ago
Detection and Visualization of Subspace Cluster Hierarchies
Subspace clustering (also called projected clustering) addresses the problem that different sets of attributes may be relevant for different clusters in high dimensional feature sp...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
9 years 9 months ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between diļ¬€erent features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...
IJPRAI
2008
144views more  IJPRAI 2008»
9 years 3 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
SSDBM
2007
IEEE
110views Database» more  SSDBM 2007»
9 years 10 months ago
On Exploring Complex Relationships of Correlation Clusters
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
CGF
2011
8 years 7 months ago
Visualizing High-Dimensional Structures by Dimension Ordering and Filtering using Subspace Analysis
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...
Bilkis J. Ferdosi, Jos B. T. M. Roerdink
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