M-Tree Data Loading And Modelling Have To Be Done Step By Step Because Professor Need To Valid Each Step

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We use the MTree library https://github.com/erdavila/M-Tree Tasks: > 1- create a python script to load a dataset (by changing > its file name) and generate its M-Tree > 2- create a python script that tests the search by similarity by > using the M-Tree for this dataset by generating random points, > by looking for their neighbors in the dataset and comparing them to > neighbors returned by the M-Tree > 3- create a python script that extracts the list of its leaves from the M-Tree > (coverage points and radii) > 4- create a python script which, for a 2D dataset, visualizes these spheres > (circles) on the dataset

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