Iterative Log Mean Centering Normalization
Parameter Information
Standard Deviation
Iterative Log Mean Centering Normalization requires only a standard deviation
range to be selected. During each iteration the a mean log ratio and standard deviation is
taken on a subset of the data which is initially the entire data set. The calculated mean
is used to correct the position to move the mean toward zero.
At the end of each iteration, data elements within the indicated standard deviation range are
selected to enter the next iteration and are used to calculate a current mean and standard deviation.
Iterations stop when the mean converges to zero.
Using small values for standard deviation will force the subset of data used for the
next iteration to be a more aggressive cut of the data.