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What's missing: import pandas as pd from scipy.cluster.hierarchy import linkage from scipy.spatial.distance import pdist from sklearn.preprocessing import StandardScaler wine = pd . read _ csv
What's missing: import pandas as pd
from scipy.cluster.hierarchy import linkage
from scipy.spatial.distance import pdist
from sklearn.preprocessing import StandardScaler
wine pdreadcsvwinecsv
# Calculate a distance matrix with selected variables
X winealcohol 'totalsulfurdioxide'
scaler StandardScaler
X pdDataFramescalerfittransformX
# pdist calculates pairs of distances between each instance in the dataset
dist pdistX
# Your code goes here
printclusterModel
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