Enhanced High Dimensional Data Visualization through Dimension Reduction and Attribute Arrangement

2006 ◽  
Author(s):  
A.O. Artero ◽  
M.C.F. de Oliveira ◽  
H. Levkowitz
Keyword(s):  
Dimension Reduction ◽  
Data Visualization ◽  
High Dimensional Data ◽  
High Dimensional

High-Dimensional Data Dimension Reduction Based on KECA

2013 ◽  
Vol 303-306 ◽  
pp. 1101-1104 ◽  
Author(s):  
Yong De Hu ◽  
Jing Chang Pan ◽  
Xin Tan
Keyword(s):  
Principal Component Analysis ◽  
Dimension Reduction ◽  
High Dimensional Data ◽  
Principal Component ◽  
Good Method ◽  
Component Analysis ◽  
Renyi Entropy ◽  
Rényi Entropy ◽  
Kernel Principal Component Analysis ◽  
High Dimensional

Kernel entropy component analysis (KECA) reveals the original data’s structure by kernel matrix. This structure is related to the Renyi entropy of the data. KECA maintains the invariance of the original data’s structure by keeping the data’s Renyi entropy unchanged. This paper described the original data by several components on the purpose of dimension reduction. Then the KECA was applied in celestial spectra reduction and was compared with Principal Component Analysis (PCA) and Kernel Principal Component Analysis (KPCA) by experiments. Experimental results show that the KECA is a good method in high-dimensional data reduction.

Interactive High-Dimensional Data Visualization

1996 ◽  
Vol 5 (1) ◽  
pp. 78 ◽  
Author(s):  
Andreas Buja ◽  
Dianne Cook ◽  
Deborah F. Swayne
Keyword(s):  
Data Visualization ◽  
High Dimensional Data ◽  
High Dimensional

Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization

2015 ◽  
Vol 150 ◽  
pp. 570-582 ◽  
Author(s):  
Hannah Kim ◽  
Jaegul Choo ◽  
Chandan K. Reddy ◽  
Haesun Park
Keyword(s):  
Data Visualization ◽  
High Dimensional Data ◽  
High Dimensional ◽  
Class Labels

scholarly journals Adaptive dimension reduction for clustering high dimensional data

2002 ◽  
Author(s):  
Chris Ding ◽  
Xiaofeng He ◽  
Hongyuan Zha ◽  
Horst Simon
Keyword(s):  
Dimension Reduction ◽  
High Dimensional Data ◽  
High Dimensional
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