I need someone to implement from scratch 3 clustering algorithms: K-Means, DBSCAN and some other to be defined.
The data are geographic coordinates and I need Harversine distance to be used.
I need code in Python that implements and compares the performance of the three algorithms and also a short description about how the algorithms work.
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1850 Hey i am a certified data scientist and ML engineer, i worked on several projects using kmeans and clustering in general. I will do your job respecting your deadlines.
1850 Hello, thank you for explaining the projects. Have you defined the third algorithm? And can you give example of the geographic coordinates dataset? I might be able to help you. Thank you.
We are an expert team with Master's qualification in Data Science. Cumulative experience is more than 35 years. Can we have a short call soon to further understand your requirements and give you a solid input?