Implement the Gaussian mixture density-based algorithm on the setosa data set available in the R software package, and produce the same output described in DQ 1. Draw some comparisons between the two outputs and methods.

Follow-Up Question:Describe the difference in centroid-based clustering versus density-based clustering. Would you be able to do a better job than k-means if you were to pick centroids instead? Which might you use on a brand-new data set?

dataset = DQ1

Dataset is in the excel below because it is a long data

https://drive.google.com/file/d/1iF9s7A_u1T0OSUDK4cGn2u1IJlSEnyrq/view?usp=sharing