analyses of your results. Why did you get the clusters you did? Do they make "sense"? If you used data that already had labels (for example data from a classification problem from assignment #1) did the clusters line up with the labels? Do they otherwise line up naturally? Why or why not? Compare and contrast the different algorithms. What sort of changes might you make to each of those algorithms to improve performance? How much performance was due to the problems you chose? Be creative and think of as many questions you can, and as many answers as you can. Take care to justify your analysis with data explictly.
analyses of your results. Why did you get the clusters you did? Do they make "sense"? If you used data that already had labels (for example data from a classification problem from assignment #1) did the clusters line up with the labels? Do they otherwise line up naturally? Why or why not? Compare and contrast the different algorithms. What sort of changes might you make to each of those algorithms to improve performance? How much performance was due to the problems you chose? Be creative and think of as many questions you can, and as many answers as you can. Take care to justify your analysis with data explictly.