Please provide the key parameters for your UMAP analysis, such as the variable name of your dataset (e.g., `data_matrix`), the desired number of components (e.g., `n_components=2`), and any specific `n_neighbors`, `min_dist`, or `random_state` values you require. The AI will then generate a customized Python script to perform UMAP dimensionality reduction and produce projections based on your input.
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