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Question

Data Science and Artificial Intelligence Question on Algorithm design techniques

Euclidean distance based k-means clustering algorithm was run on a dataset of 100 points with k = 3. If the points [1 1]\begin{bmatrix} 1 \\\ 1 \end{bmatrix} and [1 1]\begin{bmatrix} -1 \\\ 1 \end{bmatrix} are both part of cluster 3, then which ONE of the following points is necessarily also part of cluster 3 ?

A

[0 0]\begin{bmatrix} 0 \\\ 0 \end{bmatrix}

B

[0 2]\begin{bmatrix} 0 \\\ 2 \end{bmatrix}

C

[2 0]\begin{bmatrix} 2 \\\ 0 \end{bmatrix}

D

[0 1]\begin{bmatrix} 0 \\\ 1 \end{bmatrix}

Answer

[0 1]\begin{bmatrix} 0 \\\ 1 \end{bmatrix}

Explanation

Solution

The correct option is (D) : [0 1]\begin{bmatrix} 0 \\\ 1 \end{bmatrix}.