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Use the mtcars dataset in Rstudio: http://www.sthda.com/english/wiki/r-built-in-data-sets Use pearson and euclidean distance measures on Kmeans clustering algorithm. Use Euclidean on PAM algorithm. Use Pearson on

Use the mtcars dataset in Rstudio: http://www.sthda.com/english/wiki/r-built-in-data-sets

Use pearson and euclidean distance measures on Kmeans clustering algorithm. Use Euclidean on PAM algorithm. Use Pearson on HCA algorithm.

Use ComplexHeatmap to show separation of heatmaps, stacking, different ways to annotate (columns and rows and different graphing options beyond black/white blocks), etc. provide some text in your markdown discussing what options/alternatives you selected. Provide a few sentences to interpret each new heatmap visualization.

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