TY - GEN
T1 - A comparison of unsupervised dimension reduction algorithms for classification
AU - Choo, Jaegul
AU - Kim, Hyunsoo
AU - Park, Haesun
AU - Zha, Hongyuan
PY - 2007
Y1 - 2007
N2 - Distance preserving dimension reduction (DPDR) using the singular value decomposition has recently been introduced. In this paper, for disease diagnosis using gene or protein expression data, we present empirical comparison results between DPDR and other various dimension reduction (DR) methods (i.e. PCA, MDS, Isomap, and LLE) when using support vector machines with radial basis function kernel. Our results show that DPDR outperforms, as a whole, other DR methods in terms of classification accuracy, but at the same time, it gives significant efficiency compared with other methods since it has no parameter to be optimized. Based on these empirical results, we reach a promising conclusion that DPDR is one of the best DR methods at hand for modeling an efficient and distortion-free classifier for gene or protein expression data.
AB - Distance preserving dimension reduction (DPDR) using the singular value decomposition has recently been introduced. In this paper, for disease diagnosis using gene or protein expression data, we present empirical comparison results between DPDR and other various dimension reduction (DR) methods (i.e. PCA, MDS, Isomap, and LLE) when using support vector machines with radial basis function kernel. Our results show that DPDR outperforms, as a whole, other DR methods in terms of classification accuracy, but at the same time, it gives significant efficiency compared with other methods since it has no parameter to be optimized. Based on these empirical results, we reach a promising conclusion that DPDR is one of the best DR methods at hand for modeling an efficient and distortion-free classifier for gene or protein expression data.
UR - http://www.scopus.com/inward/record.url?scp=49049089735&partnerID=8YFLogxK
U2 - 10.1109/BIBM.2007.51
DO - 10.1109/BIBM.2007.51
M3 - Conference contribution
AN - SCOPUS:49049089735
SN - 0769530311
SN - 9780769530314
T3 - Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007
SP - 71
EP - 77
BT - Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007
T2 - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007
Y2 - 2 November 2007 through 4 November 2007
ER -