K-Means Clustering Quiz (Easy)

What is the primary usage for the K-Means algorithm?

What does ‘K’ stand for in K-Means?

K-Means is a / an  ________ algorithm

What metric is commonly used to measure the distance between data points in K-Means?

How does the K-Means algorithm initialize cluster centroids?

What is the role of the ‘Elbow Method’ in K-Means clustering?

K-Means clustering is most sensitive to?

What happens in the assignment step of K-Means?

What does the algorithm do in the update step of K-Means?

What is the effect of increasing the number of clusters (k) in K-Means?

What is the primary challenge in using K-Means for clustering high-dimensional data?

What is the primary objective of the K-Means clustering algorithm?

What role does K-Means++ play in the K-Means clustering algorithm?

Under which circumstance is Mini-Batch K-Means typically preferred over the standard K-Means algorithm?