1) first install into the package cluster.datasets

2) Use the dataset called acidosis.patients and assign it to a data object "df".

Understand the various fields of this dataset from https://cran.r-project.org/web/packages/cluster.datasets/cluster.datasets.pdf

3) Examine the number of clusters using all the 5 hierarchical algorithms ie. min- max- mean-centroid and wards and the k-means algorithm. Choose the algorithm that is best suited for clustering

4) Finally, run the clustering algorithm and using a dendrogram OR a plot chart to represent the different clusters.

5) Why do you think these groups of patients matter ? Can you think of practical applications of this form of grouping?