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Homework BUAL 5660 Assignment 4 Clustering

Clustering

- Filter rows
- Train a k-Means model
- Visualize clustered entries on Scatter plot and OSM Map
- Calculate Silhouette Coefficients

Exercise: ClusteringIn this exercise we will use the k-Means algorithm to cluster location data.1) Read the dataset location_data.table2) Filter to entries from California (region_code = CA)3) Train a k-means model with k=3. Use only position data for clustering (latitude and longitude)4) Calculate the Silhoutte Coefficients using the Silhouette Coefficient node5) Plot latitude and longitude in a view (OSM Map or Scatter Plot) and use that to help you visually optimize k Node 1Node 2Node 3Node 4Node 5Node 6Node 7Node 8Node 9 CSV Reader Table Reader Column Filter Row Filter k-Means SilhouetteCoefficient Scatter Plot OSM Map View Color Manager Exercise: ClusteringIn this exercise we will use the k-Means algorithm to cluster location data.1) Read the dataset location_data.table2) Filter to entries from California (region_code = CA)3) Train a k-means model with k=3. Use only position data for clustering (latitude and longitude)4) Calculate the Silhoutte Coefficients using the Silhouette Coefficient node5) Plot latitude and longitude in a view (OSM Map or Scatter Plot) and use that to help you visually optimize k Node 1Node 2Node 3Node 4Node 5Node 6Node 7Node 8Node 9 CSV Reader Table Reader Column Filter Row Filter k-Means SilhouetteCoefficient Scatter Plot OSM Map View Color Manager

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Created by: kathrinmelcher
Created at: 2019-12-13
On NodePit since: 2023-10-24
Last update: 2024-11-21
Created with KNIME version: v4.7.1
Tags: clusterk-MeansalgorithmeducationGIDSacademiaexerciseTheGuideBook

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