Computer Science 8751
Advanced Machine Learning
Homework Assignment 4 (20 points)
Due April 7, 2008
- Exercise 10.2 on page 303
- Exercise 10.6 on page 304
- Exercise 13.2 on page 388
- Imagine that you have a set of data points that are described by
features that have a hierarchical structure. For example, examples of
individuals might be described as horses, chimpanzees, lobsters, etc.
where we know that certain terms are more closely related than others
(horses and chimpanzees are different species, but closer than either
is to lobsters). If you have a set of hierarchies describing features
in your data set, how would you incorporate that information when doing
K-means clustering?