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Clustering Algorithm for Cost/Distance of UK Train Routes


Key Skills: Clustering | Machine Learning | Investigative Analysis | sklearn

Outcomes:

  • DBScan is optimal at detecting outlier routes of UK journeys
  • Plotting Cost/Distance against lat or lon highlights increased costs for routes travelling into UK cities
  • KMeans is not effective at clustering this data due to its sensitivity to outliers

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