Use K-Means clustering to reduce number of markers

Check this option to use K-Means clustering via SAS PROC FASTCLUS to reduce the number of markers.

This approach does not use knowledge of the recombination between markers.

Note : This option is intended to be used for speeding up the computations when there are many markers in the input data set. When you choose to use this option, only a subset of representative markers are used in the linkage map analysis.

Note : You should drop any monomorphic markers as well as any markers with many missing values from the input data set to get the best possible results from this analysis.

To Specify This Option:

Click within the check box.