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2005
IEEE

On Feature Selection through Clustering

9 years 5 months ago
On Feature Selection through Clustering
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the most relevant attributes. The main interest of our technique resides in the improved understanding of the structure of the analyzed data and of the relative importance of the attributes for the selection process.
Richard Butterworth, Gregory Piatetsky-Shapiro, Da
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDM
Authors Richard Butterworth, Gregory Piatetsky-Shapiro, Dan A. Simovici
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