DocumentCode
2865485
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
fYear
2005
fDate
27-30 Nov. 2005
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, Fifth IEEE International Conference on
ISSN
1550-4786
Print_ISBN
0-7695-2278-5
Type
conf
DOI
10.1109/ICDM.2005.106
Filename
1565731
Link To Document