Cluster Analysis $>$ DBSCAN

Suppose that the data mining task is to cluster employees in terms of the

features education and salary into clusters: The distance function is Euclidean distance.

Capital letters stand for the names of employees.

Try the algorithm using the following parameters for each round:

Eps $=5,$ MinPts $=4.$

Eps $=4,$ MinPts $=4.$

Eps $=5,$ MinPts $=5.$

Eps $=5,$ MinPts $=3.$

Eps $=3,$ MinPts $=3.$

Eps $=4,$ MinPts $=3.$ $ Use the DBSCAN algorithm.Suppose that the data mining task is to cluster employees in terms of the features education and salary into clusters: