Lessons from today's presentation

1. Don't speak too fast. Make yourself clear.
2. Case study is very important to demonstrate the usefulness of your program, especially if you want to convince your audience.
3. Explain the concepts clear before going to your results, otherwise the audience would be confused and lost in the presentation
4. For any anomalies in the results, better to investigate the cause. They are popular places where people would ask question.
5. Explain the particular reason for choosing, e.g. hierarchical clustering. Why not other clustering methods? (The reason is that k-means and density-based clustering require spatial points; I've only got the distance matrix.
6. Demonstrate improvements over past work.