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This sample demonstrates how a model is generated out of a data set using the k-means algorithm. The sample uses a data set to generate a model, which is divided into two sets for training and testing.
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The K-Means algorithm generates a PMML supported model. |
Prerequisites
Follow the steps below to set up the prerequisites before you start.
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The sample executes the generated model on the <ML_HOME>/samples/rest-apidefault/k-means/prediction-test data set, and it prints the value [1] as the prediction result In the CLI logs.