1839 search results - page 33 / 368 » Feature Selection in Clustering Problems |
140
Voted
DAGSTUHL
2009
15 years 4 months ago
2009
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
180
Voted
AAAI
2011
14 years 3 months ago
2011
In this paper, we propose a novel method to select the most informative subset of features, which has little redundancy and very strong discriminating power. Our proposed approach...
151
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HAIS
2009
Springer
15 years 8 months ago
2009
Springer
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
134
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
122
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SPLC
2008
15 years 5 months ago
2008
Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...