question archive 1) Create   a routine on python to evaluate the linear decision boundaries using the minimum distance classifier

1) Create   a routine on python to evaluate the linear decision boundaries using the minimum distance classifier

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1) Create   a routine on python to evaluate the linear decision boundaries using the minimum distance classifier. For that purpose follow the following instructions:

1a) You will use the iris dataset and choose any pair of features.

1b) Create   a routine on python to compute the centroids of both clusters(Show the detail of mathematical procedures you followed to obtain the separation boundaries by using the minimum distance classifier) and plot the features that you selected with the corresponding boundary surface.

pur-new-sol

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