ITS 632 University of the Cumberlands Data Mining Clustering Analysis Paper Explain the following types of Clusters: Well-separated clusters Center-based c

ITS 632 University of the Cumberlands Data Mining Clustering Analysis Paper Explain the following types of Clusters:
Well-separated clusters
Center-based clusters
Contiguous clusters
Density-based clusters
Property or Conceptual
Define the strengths of Hierarchical Clustering and then explain the two main types of Hierarchical Clustering.
DBSCAN is a dentisy-based algorithm. Explain the characteristics of DBSCAN.
List and Explain the three types of measures associated with Cluster Validity.
In regards to Internal Measures in Clustering, explain Cohesion and Separation.