Which of the following statements is false?
A) k-means clustering is perhaps the simplest unsupervised machine learning algorithm.
B) The k-means clustering algorithm analyzes unlabeled samples and attempts to place them in clusters that appear to be related.
C) The k in "k-means" represents the number of clusters to impose on the data.
D) The k-means clustering algorithm organizes samples into the number of clusters you specify in advance, using distance calculations similar to the k-nearest neighbors clustering algorithm.

Question

Quizplus · Accepted Answer

The k-means clustering algorithm does not organize samples into the number of clusters specified in advance. Instead, it iteratively updates the centroids of the clusters until convergence.

Which of the Following Statements Is False