4: The main data mining algorithms
One of the aims of the KDD-IG is to build up an
inventory of data mining algorithms that are of use to astronomy. We don't attempt to duplicate that here, but instead provide descriptions of some of the most well-known data mining algorithms, many of which have been fairly extensively used in astronomy.
- Artificial neural network
- Decision tree
- Genetic algorithms
- k nearest neighbor
- k-means clustering
- Kernel density estimation
- Kohonen self-organizing map
- Independent component analysis
- Mixture models and EM algorithm
- Support vector machine
Under construction by group members
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NickBall - 05 Sep 2010