... | ... | @@ -43,3 +43,5 @@ Individual data points, i.e. rows of the data table, can be associated with a la |
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To help visualize the overall structure of the data, several numerical variables can be combined into a 2d projection. The numerical columns and method to use can be selected in the 'Dimensionality reduction' section. Application of a dimensionality reduction method results in the creation of two new columns containing new coordinates for all data points. When running the same method multiple times, coordinates columns are re-used (i.e. new columns are not created for each new run). Upon successful completion of the dimensionality reduction, the new columns are automatically selected for plotting and the view switches back to the 'Explore' workspace.
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### Cluster
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## Selecting data points |