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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
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
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 below.
Table : Transportation Trips per Zone per type of Trucks.
Question
a From the data provided, design an appropriate graphical display. Comment
on the pattem observed.
b From the list of Zones, select zones randomly.
c Perform a simple version of market segmentation through Cluster Analysis.
Use KMeans cluster analysis with
Hint: use Euclidean distance to compute the distance between data points
Marks
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