Clustering and K-means Quiz

Assign each object to the cluster with the nearest seed point (correct)

Readjust centers

Iterate over each point and get distance to each cluster center

Recalculate centers as the mean of the points in a cluster

The algorithm restarts from the beginning

The cluster centers are recalculated

The algorithm is considered done (correct)

The points are reassigned to the nearest center

To assign each object to the cluster with the nearest seed point

To readjust centers

To find the mean of the points in a cluster (correct)

To iterate over each point and get distance to each cluster center

<p>Assigning each example to the closest center without ambiguity</p> Signup and view all the answers

<p>The algorithm is considered done</p> Signup and view all the answers