#k-means

12 questions from Clustering, Dimensionality Reduction

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12 questions · 12 min · score and explanations at the end

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Question 1: Select all that apply

easyAI-checkedClustering

Before running K-Means you have to choose K, the number of clusters. Which statements about K-Means are true? Select all that apply.

K-Means always converges to the same solution1
K, the number of clusters, should always be at most the number of features2
It makes sense to have K at most the number of examples3
In some iterations, some points may be left without a cluster4

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