Business Case: Clustering and Data Mining Clustering is the act of organizing similar objects into groups within a machine learning algorithm. Assigning related objects into clusters is beneficial for Al models. Clustering has many uses in data science, like image processing, knowledge discovery in data, unsupervised learning, and various other applications. The simulated case shows simulated transportation service provider using different types of trucks plying different zones and the associated number of trips within a year. The business owner wasn't sure how best to optimize the routes. To begin, he needs to understand the overall grouping of the trucks used and the zones served. Data has been collected in table $1$ below. Table $1$: Transportation Trips per Zone per type of Trucks. Question $1($a$)$ From the data provided, design an appropriate graphical display. Comment on the pattem observed. $($b$)$ From the list of $4$ Zones, select $2$ zones randomly. $($c$)$ Perform a simple version of market segmentation through Cluster Analysis. Use K$-$Means cluster analysis with k$=2$ Hint: use Euclidean distance to compute the distance between data points$)[50$ Marks$]$