Output (pca_1 Correlation Coefficients) - Aster Analytics

Teradata Aster Analytics Foundation User Guide

Product
Aster Analytics
Release Number
6.21
Published
November 2016
Language
English (United States)
Last Update
2018-04-14
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kiu1466024880662.ditamap
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AA-notempfilter_pdf_output.ditaval
dita:id
B700-1021
lifecycle
previous
Product Category
Software

The first principal component, pca_1, is very strongly correlated with the variable insulin (99.99%), which means that pca_1 is essentially a measure of insulin. The other attributes are only mildly correlated (the correlation coefficients are less than 0.5).

PCA Example pca_1 Correlation Coefficients
corr value
pca_1:bmi 0.111364
pca_1:glucose 0.478427
pca_1:hdl 0.00949362
pca_1:insulin 0.999914
pca_1:age 0.409505
pca_1:bloodpressure 0.0123209
pca_1:cigarettes 0.459847
pca_1:strokes -0.471619