I have two vectors (arrays) of values. One vector represents a variable whose values are between 0 and 1 (ratio-type variable). The other vector represents a variable whose values are continuous float numbers. So, I have the following questions:
1) To calculate the correlation coefficient between these two variables (either Pearson or Spearman) do I need to normalize (scale) them? 2) Which kind of normalization method is suitable/recommended for each of them? (mapping to 0-mean and 1 standard deviation, or mapping between 0 and 1, or L2 norm or what)?