"Correlation Matrix When to use Squared Correlation"
While researching a project involving polynominal datasets I forgot to check if Rapidminer had an operator to help so I'm a bit confused by the Correlation Matrix operator and when to use the "squared correlation"
Is the squared correlation the same as a chi-squared calculation and so is the correlation matrix similar to the "weight by chi-square" but without the need to have a class label defined ?
The tutorial example for the correlation matrix appears to show its suitable for use with the default params with non numeric data but other tools like R seem to prefer only numeric datasets so I'm a bit confused on how to handle non-numeric datasets in RM when I need to see the correlation
Any pointers to help clear the fog?
Is the squared correlation the same as a chi-squared calculation and so is the correlation matrix similar to the "weight by chi-square" but without the need to have a class label defined ?
The tutorial example for the correlation matrix appears to show its suitable for use with the default params with non numeric data but other tools like R seem to prefer only numeric datasets so I'm a bit confused on how to handle non-numeric datasets in RM when I need to see the correlation
Any pointers to help clear the fog?