Which statement is not correct? The z-score normalization using the mean absolute deviation is a variation of z-score normalization by replacing the standard deviation with the mean absolute deviation of A The z-score normalization normalize the values for an attribute A based on the mean and standard deviation . The value range for z-score normalization is [min,max], where min is the minimum value of A and max is the maximum value of A The min-max normalization can define any value range and linearly map the original data to this range. The min-max normalization can be definitely in the range of 0 through 1 Use the methods below to normalize the following group of data: 200,300,400,600,1000 minmax normalization by setting min=0 and max=1 z-score normalization z-score normalization using the mean absolute deviation instead of standard deviation normalization by decimal scaling Suppose a group of 12 sales price records has been sorted as follows: 5,10,11,13,15,35,50,55,72,92,204,215. Partition them into three bins by each of the following methods. Suppose a group of 12 sales price records has been sorted as follows: 5,10,11,13,15, 35,50,55,72,92,204,215. Partition them into three bins by each of the following methods. equal-width partitioning