scholarly journals General practitioners' views on key factors affecting their desired income: A principal component analysis approach

2017 ◽  
Vol 31 (1) ◽  
pp. 236-240 ◽  
Author(s):  
Mohsen Bayati ◽  
Arash Rashidian ◽  
Ali Akbari Sari ◽  
Sara Emamgholipour
Keyword(s):  
Principal Component Analysis ◽  
General Practitioners ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Approach ◽  
Key Factors ◽  
Factors Affecting

Key Factors Analysis of Port Logistics Development Based on Principal Component Analysis

2012 ◽  
Vol 253-255 ◽  
pp. 1522-1526
Author(s):  
Shou Wen Ji ◽  
Ling Shan Zhao
Keyword(s):  
Principal Component Analysis ◽  
Condition Factor ◽  
Principal Component ◽  
Component Analysis ◽  
Key Factors ◽  
Factors Affecting ◽  
Factors Analysis ◽  
Port Logistics ◽  
Spss Software

The factors affecting the modern port logistics development have become more numerous and complex, which is hard to verify the key factors. Principal component analysis which is short for PCA is used to analyze these factors, aiming at finding out the key factors of them. Lianyungang Port was chosen for case study, and nine factors were selected to analyze. By applying PCA, combined with expert scoring and SPSS software, the cumulative contribution rate could be calculated and the principal component was determined. At last the infrastructure factor, collecting and distributing condition factor, information factor and policy factor are found out as key factors. It provides a basis for Lianyungang Port’s planning and policy-making.

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.

scholarly journals Research on key influence factors of creativity development of applied undergraduates based on PCA

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Xiangmin Ren ◽  
Jingwei Yu
Keyword(s):  
Principal Component Analysis ◽  
Influence Factors ◽  
Principal Component ◽  
Heilongjiang Province ◽  
Key Factors ◽  
Factors Affecting ◽  
The Core ◽  
Creativity Development ◽  
Teachers And Students ◽  
Core Characteristics

Abstract Creativity is one of the core characteristics of talent; for this reason, the creativity development of applied undergraduates should be one of the basic components of their education. This article gives an overview of the meaning of the creativity of applied undergraduates and makes a literature knowledge-mining and expert investigation on the factors affecting the creativity development. We obtained more than 100 influencing factors, filtered out the duplicative factors, and formed the remaining factors into a questionnaire. A survey was conducted among 1460 teachers and students of some applied undergraduates in Heilongjiang Province. By using principal component analysis (PCA) to analyse the questionnaire, the key factors that affect the creativity development of applied undergraduates are obtained, and the key factors are systematically analysed. According to the results of the analysis, the specific ways and methods of the creativity development of applied undergraduates are put forward.

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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