Proportion of Variance
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![R produces the following output from a principal components analysis. What PERCENTAGE of variation
is explained by the first TWO principal components (to 2 decimal places)?
PC1
PC2
PC3
PC4
PC5
PC6
PC7
Standard deviation 22.7990 11.5819 9.8521 9.2325 6.4043 5.0735 4.6684
Proportion of Variance 0.6621
0.2148 0.0950 0.0222 0.0042 0.0013 0.0004
Cumulative Proportion 0.6621
0.8769 0.9719 0.9941 0.9983 0.9996 1.0000](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F74ca7159-d1ce-4abe-9c24-5b17bb77ce00%2F23474f8d-5a6f-4660-aa62-e39457098dd8%2Fxfmq67_processed.png&w=3840&q=75)
Transcribed Image Text:R produces the following output from a principal components analysis. What PERCENTAGE of variation
is explained by the first TWO principal components (to 2 decimal places)?
PC1
PC2
PC3
PC4
PC5
PC6
PC7
Standard deviation 22.7990 11.5819 9.8521 9.2325 6.4043 5.0735 4.6684
Proportion of Variance 0.6621
0.2148 0.0950 0.0222 0.0042 0.0013 0.0004
Cumulative Proportion 0.6621
0.8769 0.9719 0.9941 0.9983 0.9996 1.0000
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pca is dimensionality reduction technique by performing pca we get which component explains the more
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