neurodudes

This looks cool; a machine learning algorithm for learning to cluster, based on training data. You specify a set of attributes which can be computed on any given local neighborhood (nearby subset of points), and then the algorithm learns how to use these “features” to cluster.

For more info, search http://www.psi.toronto.edu/ml.html for “learning to cluster”.

Training data:
Test data:
Clustering produced by the algorithm:
The correct answer:

This entry was posted on Wednesday, September 1st, 2004 at 7:38 pm by Bayle Shanks and is filed under Artificial intelligence. You can follow any responses to this entry through the RSS 2.0 feed. You can skip to the end and leave a response. Pinging is currently not allowed.