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VIF is the abbreviation of variance inflation factor which is a measure of the amount of multicollinearity that exists in a set of multiple regression variables.
*The VIF value being above the upper limit of 10 suggest that there is severe multicollinearity
The VIF Equation:
The VIF value is below the upper limit of 10 (1.353 < 10) therefore it reveals that Wfood is not strongly correlated with the other independent variables and there is no multicollinearity.
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hello I have a dataset including both categorical & numerical variable for market segmentation.how can i cluster them via k-means in matlab? thank you
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