Differences

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--- sift:principal_component_analysis:k-means_dialog [2024/06/19 12:46] – sgranger
+++ sift:principal_component_analysis:k-means_dialog [2024/11/15 14:35] (current) – wikisysop
@@ Line 1: / Line 1: @@
-{{{{sift_new_kmeans.png
+====== K-Means Dialog ======
-the k-means button is found on the toolbar and under sift_outlier_detection.png**outlier detection**.
+{{ :sift_new_kmeans.png}}
-  * **number of clusters**: the number of clusters to be calculated.
+The K-Means button is found on the toolbar and under {{:sift_outlier_detection.png?30}}**Outlier Detection**.
-  * **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 =====
+  * **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]].
-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]].
-}}}}