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Assign Data to Clusters ML Studio classic Azure ~ Module overview This article describes how to use the Assign Data to Clusters module in Azure Machine Learning Studio classic to generate predictions using a clustering model that was trained using the KMeans clustering algorithm The module returns a dataset that contains the probable assignments for each new data point

Sweep Clustering ML Studio classic Azure Microsoft ~ Add the Sweep Clustering module to your experiment in Studio classic You can find this module under Machine Learning in the Train category Add the KMeans Clustering module and your training dataset to the experiment and connect them both to the Sweep Clustering module Configure the KMeans Clustering module to use a parameter sweep as

Train Clustering Model ML Studio classic Azure ~ Module overview This article describes how to use the Train Clustering Model module in Azure Machine Learning Studio classic to train a clustering model The module takes an untrained clustering model that you have already configured using the KMeans Clustering module and trains the model using a labeled or unlabeled data set The module creates both a trained model that you can use for

CrossValidate Model ML Studio classic Azure ~ Module overview This article describes how to use the CrossValidate Model module in Azure Machine Learning Studio classicCrossvalidation is an important technique often used in machine learning to assess both the variability of a dataset and the reliability of any model trained using that data The CrossValidate Model module takes as input a labeled dataset together with an untrained

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