In [1]:

    

from pml.api import *


    

In [2]:

    

data = load("iris.csv")


    

In [3]:

    

clustered_euc = kmeans(data, k=3, distance=euclidean)
clustered_euc.calculate_rand_index()


    

    
Out[3]:





0.763668903803132

In [4]:

    

clustered_cos = kmeans(data, k=3, distance=cosine_distance)
clustered_cos.calculate_rand_index()


    

    
Out[4]:





0.9574944071588367

In [ ]: