Explain the following types of Clusters:
· Well-separated clusters
· Center-based clusters
· Contiguous clusters
· Density-based clusters
· Property or Conceptual
2) Define the strengths of Hierarchical Clustering and then explain the two main types of Hierarchical Clustering.
3) DBSCAN is a dentisy-based algorithm. Explain the characteristics of DBSCAN.
4) List and Explain the three types of measures associated with Cluster Validity.
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