- 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?
- What are the characteristics of anomaly detection?
- What are the detection problems and methods?
- What are the statistical approaches when there is an anomaly found?
- Compare and contrast proximity and clustering based approaches
After attending the event (hypothetical, linked below), write a 1
After attending the event (hypothetical, linked below), write a 1 page reflection paper that contains the following: Name of event and event Details – linked below Why the event is/was significant to you or your professional development? How attending the event contributes to your professional development, through self-improvement planning, relationship-building,