477 search results - page 5 / 96 » Clustering Complex Data with Group-Dependent Feature Selecti... |
MCS
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
EWCBR
2006
Springer
15 years 1 months ago
2006
Springer
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
TKDE
2008
14 years 9 months ago
2008
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
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ICTAI
2009
IEEE
14 years 7 months ago
2009
IEEE
The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...