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» Hierarchical Clustering of Words
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ALGORITHMICA
2006
132views more  ALGORITHMICA 2006»
14 years 9 months ago
Straight-Line Drawing Algorithms for Hierarchical Graphs and Clustered Graphs
Hierarchical graphs and clustered graphs are useful non-classical graph models for structured relational information. Hierarchical graphs are graphs with layering structures; clus...
Peter Eades, Qing-Wen Feng, Xuemin Lin, Hiroshi Na...
61
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KES
2010
Springer
14 years 8 months ago
W-kmeans: Clustering News Articles Using WordNet
 Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
Christos Bouras, Vassilis Tsogkas
85
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IHI
2010
144views Healthcare» more  IHI 2010»
14 years 4 months ago
The effect of different context representations on word sense discrimination in biomedical texts
Unsupervised word sense discrimination relies on the idea that words that occur in similar contexts will have similar meanings. These techniques cluster multiple contexts in which...
Ted Pedersen
GIS
2002
ACM
14 years 9 months ago
Opening the black box: interactive hierarchical clustering for multivariate spatial patterns
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Diansheng Guo, Donna Peuquet, Mark Gahegan
96
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EDBT
2008
ACM
167views Database» more  EDBT 2008»
15 years 9 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant