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Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]
2
votes
1
answer
491
views
Assessing quality of similarity measure
I'll try to compute different similarity measures on some data. The result is always a similarity matrix on the data.
I want to evaluate the quality of the matrix by checking if the values for posit …
8
votes
Mixture Models and Dirichlet Process Mixtures (beginner lectures or papers)
This is a gentle tutorial:
http://www.cs.cmu.edu/~kbe/dp_tutorial.pdf
I like the wikipedia entry as well. The links there are also very good:
http://en.wikipedia.org/wiki/Dirichlet_process
Here is …