assignment

ITS-632 Intro to Data Mining

 

Dr. Patrick Haney

Dept. of Information Technology &

School of Computer and Information Sciences

University of the Cumberlands 

 

Chapter 8 Assignment

[Your Name Here]

Data Mining Clustering Analysis: Basic Concepts and Algorithms Assignment

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.