Sequence Clustering Cluster Characteristics Tab (Mining Model Viewer)
The Cluster Characteristics tab in the Microsoft Sequence Clustering Viewer provides a detailed list of the characteristics that define a sequence cluster. Those characteristics can include simple attribute-value pairs as well as transitions between states.
Use this view of a sequence clustering model to drill down into the cluster contents, and see the sequences that are representative of a cluster.
For More Information: Microsoft Sequence Clustering Algorithm, Browse a Model Using the Microsoft Sequence Cluster Viewer
Options
Refresh viewer content
Reload the mining model in the viewer.
Mining Model
Choose a mining model to view that is contained in the current mining structure. The mining model will open in its associated viewer.
Viewer
Choose a viewer to use in exploring the selected mining model. You can use the custom viewer, or the Microsoft Generic Content Tree Viewer. You can also use plug-in viewers if available.
Cluster
Choose the cluster you want to view.
Characteristics for <Cluster>
This table provides a list of the sequences that were assigned to the current cluster, ordered by probability. Remember that a sequence is basically one attribute-value pair, followed by one or more additional attribute-value pairs. The combination of sequences and their probabilities are the defining characteristics of each cluster.
For example, in a sequence clustering model based on market basket analysis, one cluster might have as its top characteristic a customer choosing the sale item and then ending the transaction without purchasing anything more. In a sequence clustering model that seeks to analyze server failures, the primary characteristics of a cluster might be a series of high frequency error events.
| Value | Description |
|---|---|
| Variable | This column indicates whether the characteristic is a value, or a transition. If the characteristic is a value, the Variable column contains the attribute name. If the characteristic represents a state transition, the Variable column contains the text "Transitions". |
| Values | The value of this column depends on whether the characteristic is a simple attribute-value pair, or a state transition representing a common sequence of items or events. If the characteristic is a value, the Value column contains the state. If the characteristic represents a state transition, the Value column contains the description of the state transition. |
| Probability | This column displays a bar that indicates the relative probability that this characteristic (either a simple attribute-value pair, or some combination of states) are members of the current cluster. You can hover the mouse over the par to display the frequency value of the characteristic. |
See Also
Data Mining Algorithms (Analysis Services - Data Mining)
Mining Model Viewers (Data Mining Model Designer)
Data Mining Model Viewers