Computer Science Homework Help. Cumberland University Week 10 Intro to Data Minning Essay
Week 10 Discussion
- What is K-means from a basic standpoint?
- What are the various types of clusters and why is the distinction important?
- What are the strengths and weaknesses of K-means?
- What is a cluster evaluation?
Select at least two types of cluster evaluations, discuss the concepts of each method.
Should return Main Discussion Content in 15hrs.
- once I receive the main discussion content then I will post the peer discussion in chat
- peer response should be returned in next 10hrs.
Week 10 Homework
After reviewing the case study this week by Krizanic (2020), answer the following questions in essay format.
- What is the definition of data mining that the author mentions? How is this different from our current understanding of data mining?
- What is the premise of the use case and findings?
- What type of tools are used in the data mining aspect of the use case and how are they used?
- Were the tools used appropriate for the use case? Why or why not?
Week 11 Discussion
In chapter 8 we focus on cluster analysis. Therefore, after reading the chapter answer the following questions:
- What are the characteristics of data?
- Compare the difference in each of the following clustering types: prototype-based, density-based, graph-based.
- What is a scalable clustering algorithm?
- How do you choose the right algorithm?