Analyze a data set with R programming and text explain. Please read the instruction PDF file which in the zip carefully,
1.Compare and evaluate 4 clustering solutions on this data set.
2.Present the solution that you consider to be the most suitable for this task and justify. b. Apply different outlier detection methods on the data set. Discuss your results.
Please follow all the requirements in the instruction. The hyperlinks in the instruction file is non-clickable, but I have provide the corresponding below the instruction (The first link is a website for the details of the data set, and the second link is a download link for the data set, I will upload the dataset file (.csv) with the instruction (.pdf) into a zip)