- Filter rows- Train a k-Means model- Visualize clustered entries on Scatter plot and OSM Map- Calculate Silhouette CoefficientsURL: Guide to Intelligent Data Science https://www.datascienceguide.org/
In this exercise we will use the k-Means algorithm to cluster location data.
Read the dataset location_data.table
Filter to entries from California (region_code = CA)
Train a k-means model with k=3. Use only position data for clustering (latitude and longitude)
Calculate the Silhoutte Coefficients using the Silhouette Coefficient node
Plot latitude and longitude in a view (OSM Map or Scatter Plot) and use that to help you visually optimize k
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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