1. PCA processing is typically appl

1. PCA processing is typically applied to the original data to remove noise.2. The distance metric is used for finding specified number of nearest neighbors.3. The number of nearest neighbors to use to form the KNN graph.4. Resolution is a parameter for the Louvain community detection algorithm that affects the size of the recovered clusters. Smaller resolutions recover smaller, and therefore a larger number of clusters, and conversely, larger values recover clusters containing more data points.5. When *Apply Automatically* is ticked, the widget will automatically communicate all changes. Alternatively, click Apply.