Differences

This shows you the differences between two versions of the page.

--- sift:principal_component_analysis:k-means_dialog [2024/07/16 19:24] – created sgranger
+++ sift:principal_component_analysis:k-means_dialog [2024/11/15 14:35] (current) – wikisysop
@@ Line 1: / Line 1: @@
-====== K-Means_Dialog ======
+====== K-Means Dialog ======
-{{sift_new_kmeans.png}}
+{{ :sift_new_kmeans.png}}
-The K-Means button is found on the toolbar and under {{sift_outlier_detection.png}}**Outlier Detection**.
+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.
-  * **Run Cumulative Variance Model**: Can be used to determine the range of the K-Means test using variance explained instead of number of PCs
+  * **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
+  * **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 one can be found [[Sift:Tutorials:Run_K-Means|here]].
+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]].