Go to "Detect Boundary" on the "Data" menu, or right click on the data set you wish to analyze in the project window and choose "Detect Boundary." Select "Fuzzy classification."
The fuzzy classification dialog consists of four tabs, "General," "Method," "Thresholds," and "Other." "Thresholds" and "Other" only apply to Wombling on fuzzy class boundaries.
"General" tab
Select the data set to classify from the pull down list of all data imported into the project.
BoundarySeer will produce a new data set of the spatial locations with their fuzzy class memberships. You can name the data set or accept the default, note that the default name contains the word "Class".
Type in a name for the new boundary, or accept the default.
Select whether to perform the analysis on one variable, the entire data set, or another variable set.
The default is to standardize the variables before analysis. Clear this option if you decide not to standardize.
"Method" tab
Select a fuzziness exponent (phi or f).
Select a stopping criterion (epsilon or e).
Choose how to calculate the fuzzy boundary membership values.
If you chose CE or CI, the other two tabs disappear and you are done with the Fuzzy Classification dialog.
If you chose to standardize your data, the standardization dialog will appear.
Then, BoundarySeer will ask you if you wish to display the boundary in a map. Select the map from the pull down list.
If you choose to display the boundary, BoundarySeer will add two new layers to the map, the data set containing the class membership, and a boundary layer depicting the BMVs and BLVs.
If you chose Wombling, you will need to complete the next two tabs, which parallel those on regular Wombling dialogs. Proceed to the wombling explanation, step 4.
See also: