[Solved] What will be the output of the following code?from scipy.cluster.vq import kmeans import numpy as np data = np.... | SciPy

SciPy - Clustering and Distance

What will be the output of the following code?

from scipy.cluster.vq import kmeans
import numpy as np

data = np.array([[1, 1], [2, 2], [10, 10], [11, 11]])
centroids, distortion = kmeans(data, 2)
print(len(centroids))

A0

B4

C1

D2

Step-by-Step Solution

Solution:

Step 1: Understand kmeans output
kmeans returns centroids array with number of clusters specified (2 here).
Step 2: Check length of centroids
Since 2 clusters requested, centroids array length is 2.
Final Answer:
2 -> Option D
Quick Check:
Number of centroids = number of clusters = 2 [OK]

Quick Trick: kmeans returns centroids equal to requested cluster count [OK]

Common Mistakes:

Confusing data points count with centroids
Expecting distortion length
Assuming centroids length equals data length

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What will be the output of the following code?

Step 1: Understand kmeans output

Step 2: Check length of centroids

Final Answer:

Quick Check:

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