Fifth IEEE International Conference on Data Mining (ICDM'05) (2005)
Nov. 27, 2005 to Nov. 30, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.106
Richard Butterworth , University of Massachusetts at Boston
Gregory Piatetsky-Shapiro , KDnuggets
Dan A. Simovici , University of Massachusetts at Boston
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.
G. Piatetsky-Shapiro, D. A. Simovici and R. Butterworth, "On Feature Selection through Clustering," Fifth IEEE International Conference on Data Mining (ICDM'05)(ICDM), Houston, Texas, 2005, pp. 581-584.