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 Tree
The tree viewer for EM, KM, and OC operate in the same way.
The Tree Viewer is the graphical tree for hierarchical clusters. When you view the tree the Workflow Thumbnail opens to give you a view of the entire tree. The Structure Window also help you navigate and analyze the tree.
You can compare the attributes in a given node with the attributes in the population using EM, KM, and OC Compare.
To view information about a particular node, select the node. In the lower pane, the Centroid tab displays the centroid of the cluster and the Cluster Rule tab displays the rule that all elements of the cluster satisfy.
The following control the display of the tree as a whole:
Zoom in zooms in to the diagram, providing a more detailed view of the rule.
Zoom out zooms out from the diagram, providing a view of much or all of the rule.
Percent size lets you select an exact percent to zoom the view.
Fit to Window zooms out from the diagram until the whole diagram fits within the screen.
Layout Type allows you to select selects horizontal layout or vertical layout; the default is vertical.
Expand all nodes shows branches of the tree.
Show more detail shows more data for each tree node; click again to show less detail.
Top Attributes displays the top N attributes; N is 5 by default. To change N, pick a different number from the list.
Click Refresh to apply changed Query Settings.
Query Settings allows you to change the number of top settings; default is 10. You can save a different number as the new default.
You can Save Rules.