Sift - K-Means Dialog
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The K-Means button is found on the toolbar and under 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.
- Use Workspace Mean: Cluster based on the workspace mean instead of individual traces
- Scale PC Scores to Variance Explained: Normalizes the scale on the workspace scores using the variance explained
Running a K-Means Test
A more in depth guide on the uses of K-Means and how to run one can be found here.