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01_​Clustering

Clustering

Introduction to Machine Learning Algorithms course - Session 4
Exercise 1
- Filter rows
- Train a k-Means model
- Visualize clustered entries on Scatter plot and OSM Map
- Calculate Silhouette Coefficients

Exercise: Clustering - 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 - Optional: Plot latitude and longitude in a view (OSM Map or Scatter Plot) and use that to help you visually optimize k Locations_data Table Reader Exercise: Clustering - 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 - Optional: Plot latitude and longitude in a view (OSM Map or Scatter Plot) and use that to help you visually optimize k Locations_data Table Reader

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Created by: kathrinmelcher
Created at: 2019-12-13
On NodePit since: 2021-01-21
Last update: 2024-12-17
Created with KNIME version: v4.3.0
Tags: clusterk-Meansalgorithmeducation

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