Learn how to set the Number of centroids property in Azure ML Designer’s K-Means Clustering module to assign items into three clusters efficiently. Optimize cluster assignments!
You are using an Azure Machine Learning designer pipeline to train and test a K-Means clustering model. You want your model to assign items to one of three clusters. Which configuration property of the K-Means Clustering module should you set to accomplish this?
Set Number of Centroids to 3
To specify the number of clusters in a K-Means Clustering model within Azure Machine Learning designer, configure the Number of centroids property in the K-Means Clustering module. Set this property to “3” to assign items to one of three clusters during model training and testing.
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