Which of the following statements is false?
A) K-means clustering works through the data attempting to divide it into that many clusters.
B) As with many machine learning algorithms, k-means clustering is recursive and gradually zeros in on the clusters to match the number you specify.
C) K-means clustering can find similarities in unlabeled data. This can ultimately help with assigning labels to that data so that supervised learning estimators can then process it.
D) Given that it’s tedious and error-prone for humans to have to assign labels to unlabeled data, and given that the vast majority of the world’s data is unlabeled, unsupervised machine learning is an important tool.

Question

Which of the following statements is false?
A) K-means clustering works through the data attempting to divide it into that many clusters. 
B) As with many machine learning algorithms, k-means clustering is recursive and gradually zeros in on the clusters to match the number you specify. 
C) K-means clustering can find similarities in unlabeled data. This can ultimately help with assigning labels to that data so that supervised learning estimators can then process it. 
D) Given that it’s tedious and error-prone for humans to have to assign labels to unlabeled data, and given that the vast majority of the world’s data is unlabeled, unsupervised machine learning is an important tool.

Quizplus · Accepted Answer

K-means clustering is an iterative algorithm, not recursive. It updates the cluster centroids in each iteration based on the mean of the points assigned to each cluster until convergence, rather than calling itself recursively.

Which of the Following Statements Is False