About Clustering Models
...intro
K-Means
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K-means clustering is a method which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results in a partitioning of the data space into Voronio cells.
To launch the regression visualization tool, select Models > K-Means from the menu. Alternatively, click the corresponding icon in the sidebar.
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K-Means models can only be created with numerical variables. |
Create a K-Means
The parameters for a curve are defined on two tabs at the top of the page: Data and Properties.
On the Data tab:
- Select a Data source from the list.
- Select an Object set from the list.
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Control the View
Use the control menu below the chart to modify the zoom, set rulers, apply new object sets and export. See [x-ref] for more information.