scholarly journals Low complexity adaptive algorithms for Principal and Minor Component Analysis

2013 ◽  
Vol 23 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Messaoud Thameri ◽  
Karim Abed-Meraim ◽  
Adel Belouchrani
Keyword(s):  
Adaptive Algorithms ◽  
Minor Component ◽  
Low Complexity ◽  
Component Analysis ◽  
Minor Component Analysis

Sensor Validation Using Nonlinear Minor Component Analysis

2006 ◽  
pp. 352-357 ◽  
Author(s):  
Roger Xu ◽  
Guangfan Zhang ◽  
Xiaodong Zhang ◽  
Leonard Haynes ◽  
Chiman Kwan ◽  
...  
Keyword(s):  
Minor Component ◽  
Component Analysis ◽  
Sensor Validation ◽  
Minor Component Analysis

scholarly journals Novel Dual-Purpose Algorithm for Principal and Minor Component Analysis

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 31530-31538
Author(s):  
Xu Zhongying ◽  
Gao Yingbin ◽  
Kong Xiangyu
Keyword(s):  
Minor Component ◽  
Component Analysis ◽  
Dual Purpose ◽  
Minor Component Analysis

scholarly journals A SELF-STABILIZING LEARNING RULE FOR MINOR COMPONENT ANALYSIS

2004 ◽  
Vol 14 (01) ◽  
pp. 1-8 ◽  
Author(s):  
RALF MÖLLER
Keyword(s):  
Single Neuron ◽  
Unit Length ◽  
Learning Rule ◽  
Minor Component ◽  
Weight Vector ◽  
Component Analysis ◽  
The Novel ◽  
Vector Length ◽  
Learning Rules ◽  
Minor Component Analysis

The paper reviews single-neuron learning rules for minor component analysis and suggests a novel minor component learning rule. In this rule, the weight vector length is self-stabilizing, i.e., moving towards unit length in each learning step. In simulations with low- and medium-dimensional data, the performance of the novel learning rule is compared with previously suggested rules.

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