1. Briefly describe and give examples of each of the following approaches to clustering: partition-ing methods, hierarchical methods, density-based methods.
2. After chapter exercise 8.2. You can use the computer program to do the step (b)
3. After chapter exercise 8.4
4. After chapter exercise 8.13
5. After chapter exercise 8.15
6. How to detect the clustering tendency for the dataset?
7. How to decide the number of clusters?
8. The method to measure the clustering quality can be categorized as Extrinsic and Intrinsic, depending on the existence of Ground Truth. Explain what Extrinsic method and Intrinsic method try to address respectively, and explain 1 clustering-quality-measuring algorithm for each of them. 
9. Name and explain the common ways to calculate the distance between clusters.
Please show your own original work. Direct copy from an answer key or duplicated homework isn’t accepted. 
below i attached all the class note slides  textbook pdf attached as well . i also attached the exact  screen shot of how the asssignment explaning  instructions looks