Home > Data Mining Algorithms > Anomaly Detection > Anomaly Detection Viewers a... > Association > AR Model Viewers and Algori... > Decision Tree > Expectation Maximization > EM Model Viewer and Algorit... > Generalized Linear Models > GLM Model Viewers and Algor... > k-Means > KM Model Viewer and Algorit... > KM Model Viewer > EM, KM, and OC Compare
The compare tab for EM, KM, and OC operate in the same way.
The Compare tab allows you to compare two clusters in the same model. The display allows you to select the two clusters to compare.
To select clusters to compare, pick them from the lists. Optionally, you can rename a cluster. Click Edit to launch the Rename Cluster dialog.
The default is to Show Leaves only. If you want to show all nodes, unselect Leaves Only.
The default Fetch Size is 20; you can change this value.
If you make any changes, click Query.
The clusters are compared by comparing attribute values. The comparison is displayed in a grid.
To search for an attribute, type its name in the search box; you can also search by rank.
For each cluster, a histogram is generated that shows the attribute values in the cluster. To see enlarged histograms for a cluster, click the attribute that you are interested in. The enlarged histograms are displayed below the attribute grid.
You can use Compare to compare an individual cluster with the population, as described in Compare Cluster with Population.
In some cases, there may appear to be Missing Histograms in a Cluster.