Generate all the combination of features for KMeans in python

Asked Feb 22 '21 at 23:59

Active Feb 22 '21 at 23:59

Viewed 63 times

I have the following dataset:

import pandas as pd

cars = {'Brand': ['Honda Civic','Toyota Corolla','Ford Focus','Audi A4'],
        'Price': [22000,25000,27000,35000],'sales': [220000,250000,270000,350000],'Export': [2000,2000,7000,5000],
        'Speed': [220,210,270,350]
        }

df = pd.DataFrame(cars, columns = ['Brand', 'Price','sales','Export','Speed'])

print (df)

I want to calculate cluster results (calculate centroid and add cluster label) for all possible combinations of features with Kmeans. My question is how to generate all combinations of features to calculate the centroids for cluster=2? Thank you

asked Feb 22 '21 at 23:59

Qianru Song

Does this answer your question? [How to get all possible combinations of a list’s elements?](https://stackoverflow.com/questions/464864/how-to-get-all-possible-combinations-of-a-list-s-elements) – mkrieger1 Feb 23 '21 at 00:04
What does `cluster=2` mean? – mkrieger1 Feb 23 '21 at 00:07
When I generate all the possible combinations, I will calculate kmeans considering cluster=2. – Qianru Song Feb 23 '21 at 00:19

Generate all the combination of features for KMeans in python

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