Cluster analysis and annotation | Computer Science homework help

Q1. Read Chapter 8 in the textbook: Cluster Analysis

Textbook: Tan, Pang-Ning. Introduction to Data Mining

  1. What are the characteristics of data?
  2. Compare the difference in each of the following clustering types: prototype-based, density-based, and graph-based.
  3. What is a scalable clustering algorithm?
  4. How do you choose the right algorithm?

Answer all the questions in Q&A format in 200 words. There must be APA formatted references (and APA in-text citations) to support the thoughts in the post.

Q2. Read ch. 8 in the textbook: Annotation

Textbook: Kirk, Andy.  Data Visualization: A Handbook for Data Driven Design

Annotation is a crucial component of good data visualization.  It can turn a boring graphic into an interesting and insightful way to convey information.  This week, please navigate to any site and find a graphic that could use some annotation work.  Add the graphic and the website it is found as an attachment and note what you would do to enhance the graphic and note why you would make these decisions.

Answer in 250 words.