An Improved Manifold Learning Algorithm for Data Visualization

2006 ◽  
Author(s):  
Rui-jun Gu ◽  
Wen-bo Xu
Keyword(s):  
Data Visualization ◽  
Manifold Learning ◽  
Learning Algorithm

A New Supervised Manifold Learning Algorithm Based on MMC and LSE

2014 ◽  
Vol 39 (12) ◽  
pp. 2077-2089
Author(s):  
Min YUAN ◽  
Lei CHENG ◽  
Ran-Gang ZHU ◽  
Ying-Ke LEI
Keyword(s):  
Manifold Learning ◽  
Learning Algorithm

Generalized incremental manifold learning algorithm based on local smoothness

2013 ◽  
Vol 32 (6) ◽  
pp. 1670-1673
Author(s):  
Xue-yan ZHOU ◽  
Jian-min HAN ◽  
Yu-bin ZHAN
Keyword(s):  
Manifold Learning ◽  
Learning Algorithm ◽  
Local Smoothness

scholarly journals The research of semi-supervised manifold learning algorithm based on markov property

2015 ◽  
Vol 45 (5) ◽  
pp. 703-712
Author(s):  
QingSong XU ◽  
Liang SHEN ◽  
DongSheng CAO ◽  
Xin HUANG
Keyword(s):  
Manifold Learning ◽  
Learning Algorithm ◽  
Markov Property

Improved Isomap Algorithm Based on Supervision

2013 ◽  
Vol 427-429 ◽  
pp. 1896-1899 ◽  
Author(s):  
Zhong Yong Wu ◽  
Li Li Gan
Keyword(s):  
Manifold Learning ◽  
Isometric Embedding ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Classification Problem ◽  
Classification Problems ◽  
Series Of Experiments ◽  
Effective Use

It focuses Isomap isometric embedding algorithm is proposed to improve supervised isometric embedding algorithm (SIsomap). Both supervised manifold learning algorithm, using the introduction of adjustable parameters in the form of classes in the classification problem for the effective use of information, making the manifold learning algorithms for classification classification problems have a stronger effect. Finally, through a series of experiments to fully illustrate the proposed improvement of the effectiveness of the algorithm, the proposed oversight of the manifold learning algorithm can more effectively enhance manifold learning algorithms for classification problems

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