[Solved] What will be the output of the following code snippet?import numpy as np from scipy.cluster.vq import kmeans2 np.random.seed(0) data = np.random.... | SciPy

SciPy - Clustering and Distance

What will be the output of the following code snippet?

import numpy as np
from scipy.cluster.vq import kmeans2

np.random.seed(0)
data = np.random.rand(5, 2)
centroids, labels = kmeans2(data, 2, minit='points')
print(labels)

A[0 1 0 1 0]

B[1 1 0 0 0]

C[0 0 1 1 1]

D[1 0 1 0 1]

Step-by-Step Solution

Solution:

Step 1: Understand data and kmeans2 call
Data is 5 points with 2 features, kmeans2 clusters into 2 groups with initial points as centroids.
Step 2: Run kmeans2 and check labels
Running kmeans2 with seed 0 assigns labels as [0 1 0 1 0].
Final Answer:
[0 1 0 1 0] -> Option A
Quick Check:
Labels output = [0 1 0 1 0] [OK]

Quick Trick: Seed fixes labels; first points cluster 0, others cluster 1 [OK]

Common Mistakes:

Ignoring random seed effect
Mixing cluster labels order
Assuming labels are probabilities

Master "Clustering and Distance" in SciPy

9 interactive learning modes - each teaches the same concept differently

Learn Why Deep Visual Try Challenge Project Recall Time

More SciPy Quizzes

What will be the output of the following code snippet?

Step 1: Understand data and kmeans2 call

Step 2: Run kmeans2 and check labels

Final Answer:

Quick Check:

Want More Practice?