[Solved] Given the code below, what will be the output of the variable idx?import numpy as np from scipy.cluster.vq import kmeans, vq data = np.... | SciPy

SciPy - Clustering and Distance

Given the code below, what will be the output of the variable idx?

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

data = np.array([[1, 2], [1, 4], [1, 0], [10, 2], [10, 4], [10, 0]])
centroids, _ = kmeans(data, np.array([[1, 2], [10, 2]]))
idx, _ = vq(data, centroids)
print(idx)

A[0 1 0 1 0 1]

B[0 0 0 1 1 1]

C[1 1 1 0 0 0]

D[1 0 1 0 1 0]

Step-by-Step Solution

Solution:

Step 1: Understand kmeans and vq functions
kmeans finds 2 cluster centers for the data points. vq assigns each point to the nearest center, returning cluster indices.
Step 2: Analyze data and expected clusters
Data points with x=1 are close and form one cluster (index 0), points with x=10 form the other (index 1). So idx should be [0 0 0 1 1 1].
Final Answer:
[0 0 0 1 1 1] -> Option B
Quick Check:
Points grouped by x value = [0 0 0 1 1 1] [OK]

Quick Trick: Clusters group points close in space; check coordinates [OK]

Common Mistakes:

Mixing cluster indices order
Confusing kmeans output with vq output
Assuming clusters are assigned randomly

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

Given the code below, what will be the output of the variable idx?

Step 1: Understand kmeans and vq functions

Step 2: Analyze data and expected clusters

Final Answer:

Quick Check:

Want More Practice?