I’m working on a business multi-part question and need a sample draft to help me study.
In chapter 8 we focus on cluster analysis. Â Therefore, after reading the chapter answer the following questions:
What Â Â Â Â Â are the characteristics of data?
- Compare Â Â Â Â Â the difference in each of the following clustering types: prototype-based, Â Â Â Â Â density-based, graph-based.
- What Â Â Â Â Â is a scalable clustering algorithm?
- How do Â Â Â Â Â you choose the right algorithm?
After reviewing chapter 9 on anomaly detection, answer the following questions in essay format.
- What Â Â Â Â Â are the characteristics of anomaly detection?Â
- What Â Â Â Â Â are the detection problems and methods?
- What Â Â Â Â Â are the statistical approaches when there is an anomaly found?
- Compare Â Â Â Â Â and contrast proximity and clustering based approaches.
Tan, P. N., Steinbach, M., & Kumar, V. (2016). Introduction to data mining. Pearson Education India.