DocumentCode
2464893
Title
A Comparative Study of Dimension-Reduction Based on Data Distribution
Author
Tan, Lu ; Zhang, Yameng
Author_Institution
Inst. of Stat. & Math., Shandong Univ. of Finance, Jinan, China
Volume
3
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
309
Lastpage
312
Abstract
The notions of explanation-radius and the local information based on the data distribution are proposed. The former measures the injective degree and the latter depicts the difference between the original data and the reduction data. Thereafter, through the experiments, the linear and nonlinear dimension-reduction is analyzed, included PCA (Principal Component Analysis), PP (Projection Pursuit) and LLE (Locally Linear Embedding), Laplacion Eigenmap. The experiments show the effectiveness and advantages of the researches.
Keywords
data handling; eigenvalues and eigenfunctions; principal component analysis; Laplacion eigenmap; data distribution; explanation-radius; injective degree; locally linear embedding; nonlinear dimension-reduction; principal component analysis; projection pursuit; reduction data; Breast cancer; Data analysis; Frequency modulation; Gaussian distribution; Laplace equations; Principal component analysis; data distribution; explanation-radius; the degree of local information;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.179
Filename
5709382
Link To Document