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Cluster Analysis And Annotation. Q1. Read Chapter 8 in the textbook: Cluster Analysis Textbook: Tan, Pang-Ning. Introduction to Data Mining What are the characteristics of data? Compare the difference in each of the following clustering types: prototype-based, density-based, and graph-based. What is a scalable clustering algorithm? 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.

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November 27th, 2022
Home Uncategorized Cluster Analysis And Annotation. Q1. Read Chapter 8 in the textbook: Cluster Analysis Textbook: Tan, Pang-Ning. Introduction to Data Mining What are the characteristics of data? Compare the difference in each of the following clustering types: prototype-based, density-based, and graph-based. What is a scalable clustering algorithm? 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.

Data is any type of information collected and structured in a meaningful way so that it can be further processed (jayanti, 2019). In other words, dates are well-known truths that can be recorded and also have implicit meanings. The following properties of data are discussed: In order for data to be accurate, they must also contain accurate information. Precision saves users time and money. Data should also be relevant and tailored to the needs of the user. Therefore, the legality of data should be verified before it is considered for use. However, the information must be reliable and consistent. Inaccurate data is worse than inaccurate or missing data (Jayanti, 2019). Furthermore, for data to be of high quality and value, it must be relevant. While relevant information is not always complete in today’s dynamic data world, when used, data must be thorough and comprehensive in its current state. continue…

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