Title :
Exploitation of Multivalued Type Proximity for Symbolic Feature Selection
Author :
Kiranagi, Bapu B. ; Guru, D.S. ; Ichino, Manabu
Author_Institution :
Dept. of Studies in Comput. Sci., Mysore Univ.
Abstract :
In this paper, a simple and efficient feature selection scheme for symbolic data is proposed. The proposed scheme exploits the symbolic multivalued proximity measures for feature selection. The effectiveness of the proposed scheme has been demonstrated through experiments on standard symbolic data sets
Keywords :
feature extraction; pattern clustering; symbol manipulation; symbolic data feature selection scheme; symbolic multivalued proximity measure; Art; Classification algorithms; Computer science; Data mining; Degradation; Feature extraction; Noise reduction; Principal component analysis;
Conference_Titel :
Computing: Theory and Applications, 2007. ICCTA '07. International Conference on
Conference_Location :
Kolkata
Print_ISBN :
0-7695-2770-1
DOI :
10.1109/ICCTA.2007.58
