Creating a k-means clustering model BigQuery ML Google Cloud

Enter the following standard SQL query in the Query editor text area. When the query is complete, click the Results tab below the query text area. The results tab shows the columns you queried that are used to train your model: station_name, duration, num_trips, distance_from_city_center. The results should look like the following. Now that you have examined your training data, the next step is to create a k-means model using the data. You can create and train a k-means model using the CREATE MODEL statement with the option model_type kmeans.