Complete the following steps and write a report to record your work, results and analysis.
1. Install and load the *factoextra and **NbClust packages.
2. Select an appropriate data set in R or the MASS library and use the sample(), ctree() and predict() functions to build a decision tree and plot it. You may also use one of the data sets (usoccupations, uscars, uspopulation) attached to this module for this assignment (you may import directly or convert to CSV first).
3. Determine the appropriate number of clusters and produce a k-means cluster. Explain your findings.
4. Produce a density-based cluster with DBSCAN or use logistic regression to construct a binary classification and explain your findings.