Home > Data Mining Algorithms > Anomaly Detection > Anomaly Detection Model Vie... > Association > AR Troubleshooting, Model V... > Decision Tree > Generalized Linear Models > GLM Model Viewers and Algor... > k-Means > KM Model Viewer and Algorit... > KM Model Viewer > KM Detail
The detail viewer for OC and KM operate in the same way.
The Detail tab allows you to view information about a selected cluster.
The viewer supports filtering so that only selected probabilities are displayed.
The following information is displayed:
Cluster: The ID of the cluster being viewed. change the cluster by selecting a different ID from the menu. You can view Leaves Only (terminal clusters) by selecting Leaves Only.
The default Fetch Size is 50; you can change this value.
If you change Fetch Size, click Query to see the new display.
The grid lists the attributes in the cluster. For each attribute, the following information is displayed:
Name of the attribute
Histogram of the attribute values in the cluster
Confidence displayed as both a number and with a bar indicating a percent. If confidence is very small, no bar is displayed
Support, the number of cases
Mean, displayed for numeric attributes
Mode, displayed for categorical attributes
Variance
To view a larger version of the histogram, select an attribute; the histogram is displayed below the grid. Float the cursor over a bar in the histogram to see details of the histogram including the exact value.
You can search the attribute list for a specific attribute name or for a specific value of mode.To search, use the search box
The drop down menu allows you search the grid by Attribute (the default) or by Mode. Type the search term in the box next to
.
To clear a search, click
Other Tabs: The NB Model Viewer has these additional tabs: