Scapulothoracic kinematic pattern in the shoulder pain and scapular dyskinesis: A principal component analysis approach

2018 ◽  
Vol 77 ◽  
pp. 138-145 ◽  
Author(s):  
Denise Martineli Rossi ◽  
Renan Alves Resende ◽  
Sérgio Teixeira da Fonseca ◽  
Anamaria Siriani de Oliveira
Keyword(s):  
Principal Component Analysis ◽  
Shoulder Pain ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Approach ◽  
Scapular Dyskinesis ◽  
Kinematic Pattern

Component Analysis: An Aid to the Interpretation of Data

1969 ◽  
Vol 5 (2) ◽  
pp. 151-164 ◽  
Author(s):  
D. A. Holland
Keyword(s):  
Principal Component Analysis ◽  
Statistical Study ◽  
Principal Component ◽  
Component Analysis ◽  
Linear Functions ◽  
Analysis Approach ◽  
Specific Technique ◽  
Mathematical Technique ◽  
Biological Concepts ◽  
General Component

SummaryPrincipal component analysis is a mathematical technique for summarizing a set of related measurements as a set of derived variates, frequently fewer in number, which are definable as independent linear functions of the original measurements. Consideration of their mathematical nature shows that they do not, themselves, necessarily correspond to sensible biological concepts, though they are more amenable to statistical study than the original measurements. Further, by assessing the extent to which they are in accordance with biological hypotheses, or with the results of other, similar, analyses, they can be transformed into other linear functions which are meaningful in the biological sense, or consistent with other results. Thus the specific technique of principal component analysis is developed into a more general component analysis approach. With proper regard for the purpose the analysis is intended to serve and for the mathematical restrictions involved, this approach can lead to a useful condensation of a mass of data, a better under-standing of the observed individuals as entities rather than collections of isolated measurements, and to the formulation of new hypotheses for subsequent examination.

A robust principal component analysis approach to DoS-related network anomaly detection

2020 ◽  
Author(s):  
Cody Doucette ◽  
Regan Broderick-Sander ◽  
Benjamin Toll ◽  
Aaron Helsinger ◽  
Nathaniel Soule ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Anomaly Detection ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Approach ◽  
Robust Principal Component Analysis ◽  
Network Anomaly Detection
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