Unsupervised Machine Learning: Clustering Algorithms Quiz

It groups points based on their density within a specific radius (correct)

It clusters points based on their similarity

It is a centroid-based clustering algorithm

It operates by dividing the data into a pre-defined number of clusters

The minimum number of points within the neighborhood of a point for it to be considered a core point

The radius around a point (correct)

The maximum cluster size

The distance between the centroids of clusters

Points with at least a minPts number of points within a distance of eps

Points that belong to the cluster of the core point they are connected to

Points with varying density

Points that do not satisfy the minPts condition (correct)

<p>It is sensitive to parameters (eps and minPts)</p> Signup and view all the answers

<p>Irregularly shaped clusters</p> Signup and view all the answers