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

{{:sift_new_kmeans.png}}

The K-Means button is found on the toolbar and under {{:sift_outlier_detection.png}}**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.
  * **Run Cumulative Variance Model**: Can be used to determine the range 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
  * **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 one can be found [[Sift:Tutorials:Run_K-Means|here]].