Clustering in Geospatial Applications: Which Model To Use??

Clustering models have been widely used in unsupervised machine learning applications. But how do we know which clustering methods work best for geospatial applications?
Important applications of geospatial clustering include reducing the size of large location data sets, and understanding large-scale mobility patterns through taxi trip clustering, for urban planning and transportation.
Link to article: towardsdatasci...
Link to code: github.com/ska...

[@liveautomationexperts]

Expecting more tutorials from you. Clear voice and command on the subject makes comfortable to listen and understand. Wish you all the best. I would like to take path as data scientist. Going through several tutorials. But, I could not able to get the correct breakdowns of several models. Looking forward to see, if you can make such a video on this.

[@scienceineverydaylife3596]

Thank you! Check out my recent videos on generative AI as well 😃

[@richarddebose4557]

Awesome vid! Thank you!

[@scienceineverydaylife3596]

Thank you :)

[@ziadfellah-idrissi6130]

Could you please give us your dataset

[@scienceineverydaylife3596]

Thanks for your question - these are just randomly generated points from OSMnx - so just following the github code should suffice as long as you have the packages installed

[@Asoveertje]

The way you say "algorithms" makes me wet. Thank you for the information!

[@scienceineverydaylife3596]

Thanks for the compliment I guess 😅