University of the Cumberlands Types of Cluster Question Data Mining Clustering Analysis: Basic Concepts and Algorithms Assignment(APA format needed)
1) 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.
5) In regards to Internal Measures in Clustering, explain Cohesion and Separation.
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