Title :
On feature selection through clustering
Author :
Butterworth, Richard ; Piatetsky-Shapiro, Gregory ; Simovici, Dan A.
Author_Institution :
Dept. of Comput. Sci., Massachusetts Boston Univ., MA, USA
Abstract :
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.
Keywords :
pattern clustering; attribute clustering; classification algorithm; feature selection; Algorithm design and analysis; Bismuth; Clustering algorithms; Computer science; Data analysis; Data mining; Performance analysis; Relational databases; Robustness; Terminology;
Conference_Titel :
Data Mining, Fifth IEEE International Conference on
Print_ISBN :
0-7695-2278-5
DOI :
10.1109/ICDM.2005.106
