[Solved] You have two sets of points:pointsA = [[0, 0], [3, 4], [6, 8]] pointsB = [[0, 0], [0, 5]]You want to find which point in pointsA is... Which approach using scipy.spatial.distance_matrix is correct? | SciPy

SciPy - Clustering and Distance

You have two sets of points:

pointsA = [[0, 0], [3, 4], [6, 8]]
pointsB = [[0, 0], [0, 5]]

You want to find which point in pointsA is closest to any point in pointsB. Which approach using scipy.spatial.distance_matrix is correct?

ACompute the distance matrix, then find the minimum distance in each row

BCompute the distance matrix, then sum all distances and pick the smallest sum

CCompute the distance matrix, then find the maximum distance in each column

DCompute the distance matrix, then average all distances and pick the largest average

Step-by-Step Solution

Solution:

Step 1: Compute distance matrix between pointsA and pointsB
This gives distances from each point in pointsA to each point in pointsB.
Step 2: Find minimum distance per point in pointsA
For each row (point in pointsA), find the smallest distance to any point in pointsB to identify closest point.
Final Answer:
Compute the distance matrix, then find the minimum distance in each row -> Option A
Quick Check:
Closest point = min distance per row [OK]

Quick Trick: Minimum distance per row shows closest point [OK]

Common Mistakes:

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