DocumentCode :
1399168
Title :
Manifold Learning for Visualizing and Analyzing High-Dimensional Data
Author :
Zhang, Junping ; Huang, Hua ; Wang, Jue
Author_Institution :
Fudan Univ. Fudan Univ., Shanghai, China
Volume :
25
Issue :
4
fYear :
2010
Firstpage :
54
Lastpage :
61
Abstract :
Assuming that high-dimensional data are generated from intrinsic variables with lower dimensions, several key manifold-learning algorithms can help effectively analyze and visualize such data.
Keywords :
data analysis; data visualisation; learning (artificial intelligence); high dimensional data analysis; high dimensional data visualization; manifold learning; Data analysis; Data visualization; IEEE members; Machine learning; Machine learning algorithms; Manifolds; Pixel; Principal component analysis; Statistical analysis; Statistics; data visualization; intelligent systems; machine learning; manifold learning; multivariate statistics; pattern analysis;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2010.8
Filename :
5401149
Link To Document :
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