20 points
Assigned Tuesday, November 8
Due Tuesday, November 15
at 11:59 p.m.
In this mini-homework, you are to cluster the 20 examples you created in the first mini-homework. Since this is unsupervised learning, you are to ignore the examples' labels and cluster only based on the attributes. You may create either a hierarchical clustering or a non-hierarchical clustering.
In your writeup, describe what similarity or dissimilarity measure you chose, what values you chose for other parameters (e.g., k in k-means clustering), and present your clustering.
Take your writeup and add it to your description of your target concept, attributes, examples with labels and attribute values, and other classifiers in your personal wiki, which is already linked in from the course wiki. Do not remove your previous results from your wiki; keep everything as a single, comprehensive document.