Spectral-Angle-based Laplacian Eigenmaps for Nonlinear Dimensionality Reduction of Hyperspectral Imagery

2014 ◽  
Vol 80 (9) ◽  
pp. 849-861 ◽  
Author(s):  
Lin Yan ◽  
Xutong Niu
Keyword(s):  
Dimensionality Reduction ◽  
Hyperspectral Imagery ◽  
Nonlinear Dimensionality Reduction ◽  
Laplacian Eigenmaps ◽  
Spectral Angle

UL-Isomap based nonlinear dimensionality reduction for hyperspectral imagery classification

2014 ◽  
Vol 89 ◽  
pp. 25-36 ◽  
Author(s):  
Weiwei Sun ◽  
Avner Halevy ◽  
John J. Benedetto ◽  
Wojciech Czaja ◽  
Chun Liu ◽  
...  
Keyword(s):  
Dimensionality Reduction ◽  
Hyperspectral Imagery ◽  
Nonlinear Dimensionality Reduction

Classification Criterion Based Neighborhood Optimization Method on Laplacian Eigenmaps

2011 ◽  
Vol 403-408 ◽  
pp. 2679-2682
Author(s):  
Quan Sheng Jiang ◽  
Su Ping Li
Keyword(s):  
Dimensionality Reduction ◽  
Manifold Learning ◽  
Parameter Optimization ◽  
Learning Algorithms ◽  
Optimization Method ◽  
Classification Performance ◽  
Nonlinear Dimensionality Reduction ◽  
Classification Criterion ◽  
Criterion Function ◽  
Laplacian Eigenmaps

Manifold learning algorithms are nonlinear dimensionality reduction algorithms rising in recent years. Laplacian Eigenmaps is a typical manifold learning algorithms. Aim to the difficulty of selecting neighborhood parameter on the algorithm, a neighborhood parameter optimization method based on classification criterion is proposed in the paper. From the point of the classification performance, the classification criterion function is constructed to reflect the distance of within-class and between-class. The optimization of the neighborhood is obtained according to the minimum of the criterion function. The experimental results on IRIS validate the optimization of the neighborhood and the effectiveness of feature classification.

Nonlinear Dimensionality Reduction for Data on Manifold with Rings

2009 ◽  
Vol 19 (11) ◽  
pp. 2908-2920
Author(s):  
De-Yu MENG ◽  
Nan-Nan GU ◽  
Zong-Ben XU ◽  
Yee LEUNG
Keyword(s):  
Dimensionality Reduction ◽  
Nonlinear Dimensionality Reduction
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