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Completed personal version of Rideshare Clustering including demo version with data generation and pdf explanation of the project I did with AHTaylor

Python 100.00%

rideshareclustering's Introduction

Rideshare Clustering

Matching Riders to Drivers

This is a project I co-created with Austin Taylor at the end of a scientific computation course. Inspired by the desire to reduce the weekly workload in clustering drivers to riders in a music performance club I was in where we would do weekly performances for local homeless shelters and retirement centers.

In essence, we coded an agglomerative clustering method (complete-linkage clustering) from scratch because it fit our use case quite well to make nicely compact rider groups. The information was collected through google forms and downloaded as a CSV from a weekly email sent out. (Fake data provided to supplement the proof-of-concept work).

rideshare_clustering.pdf - compiled from Latex, this pdf was the original project submission (spelling errors and all)

You can read more about the project on my blog

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