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This page gives some quick examples of using the SR utility that you can run in a few minutes. After trying out these examples, you can read the full documentation to learn how to use it for your own specific needs.
All you need to follow the examples is:
- the referenced datasets (included in the compressed archive datasets_vX.Y.Z from http://code.google.com/p/vita/downloads/);
- the sr utility (please read http://code.google.com/p/vita/source/browse/README for compilation instructions or download the precompiled package).
We will start with the Iris dataset ("iris.xrff"), this is perhaps the best known database to be found in the pattern recognition literature. It consists of 50 samples from each of three species of Iris flowers (Iris setosa, Iris virginica and Iris versicolor). Four features were measured from each sample, they are the length and the width of sepal and petal, in centimeters. Based on the combination of the four features, we need to distinguish the species from each other.
TO BE FINISHED