====== K-Means Dialog ======

{{ :sift_new_kmeans.png}}

The K-Means button is found on the toolbar and under {{:sift_outlier_detection.png?30}}**Outlier Detection**.

  * **Number of Clusters**: The number of clusters to be calculated.
  * **Maximum iterations**: How many times the calculations will be run, more iterations will refine the results at the cost of longer processing times.
  * **Determine Number of PCs Using Variance Explained**: Can be used to determine the number of PCs (i.e. dimensionality) of the K-Means test using variance explained instead of number of PCs
  * **Number of PCs (1-25)**: The number of principal components representing the workspace.
  * **Scale PC Scores to Variance Explained**: Normalizes the scale on the workspace scores using the variance explained.
  * **Switch Display Style to by Cluster**: Automatically changes the display style to cluster, after running a K-Means Test.
  * **Use Custom Seed For First Centroid**: Allows the selection of a custom seed instead of a randomly generated one, creates consistent results across runs.

==== Running a K-Means Test ====

A more in depth guide on the uses of K-Means and how to run a K-Means test in Sift can be found [[Sift:Tutorials:Run_K-Means|here]].


==== Note ====
A label noting the currently selected PCA can be found at the top of the dialog, if the PCA had any missing input data a warning will be displayed with the label as if too many data points were missing from the PCA input it may effect the results of subsequent tests.

{{:pca_label.png}} \\
{{:pca_label_warning.png}}