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how to calculate the distance of a example from each cluster centroid for kmeans in.
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Here is a Python code to calculate the distance of an example from each cluster centroid for kilometers in the distance

import numpy as np

def distance_from_centroid(example, centroids):
    """Calculates the distance of a example from each cluster centroid for kmeans."""
    return np.linalg.norm(example - centroids, axis=1)

# Enter the dataset
dataset = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# Enter the centroids
centroids = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# Calling the function
print((distance_from_centroid(dataset, centroids)))

#Example Output

# [0. 0. 0.]

#Remember to inspect code for bugs.