TY - GEN
T1 - On feature selection through clustering
AU - Butterworth, Richard
AU - Piatetsky-Shapiro, Gregory
AU - Simovici, Dan A.
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/34548564273
UR - https://www.scopus.com/pages/publications/34548564273#tab=citedBy
U2 - 10.1109/ICDM.2005.106
DO - 10.1109/ICDM.2005.106
M3 - Conference contribution
AN - SCOPUS:34548564273
SN - 0769522785
SN - 9780769522784
T3 - Proceedings - IEEE International Conference on Data Mining, ICDM
SP - 4
EP - 7
BT - Proceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Data Mining, ICDM 2005
Y2 - 27 November 2005 through 30 November 2005
ER -