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1
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What is the formula to calculate the K-Means distance between cluster points?
sqrt((x2-x1)^2 + (y2-y1)^2)
2
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What is the name of the formula used to calculate K-Means distance?
Euclidean distance
3
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Calculate the K-Means for point 1 (2,10) with the centers A(2,10), B(5,8), and C(1,2). What is the closest center for point 1?
A
4
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Calculate the K-Means for point 2 (2,5) with the centers A(2,10), B(5,8), and C(1,2). What is the closest center for point 2?
C
5
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When do you stop calculating K-Means?
When there is no more change in the centroids.
6
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What is the goal of the K-Means algorithm?
To find centroids that minimize the inertia, or within-cluster sum-of-squares criterion.
7
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What formula is this for?
K-Means
8
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What is the goal of the K-Means formula?
Minimize the distance between data points and centroid
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