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Iterative algorithms which attempt to solve maximum likelihood usually fall under the category of expectation maximization (a good example is K-means clustering
by tprynn 13y ago
Iterative algorithms which attempt to solve maximum likelihood usually fall under the category of expectation maximization (a good example is K-means clustering).
http://en.wikipedia.org/wiki/Expectation-maximization_algorithm http://en.wikipedia.org/wiki/Expectation-maximization_algori...
- ced 13y agoAh, I'd always thought of EM as iterating over the parameters given a model, but I suppose it makes sense to see it as a search for a model, including parameters, that fits the data. Cool.