Data Mining

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

 

• 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.