This clustering algorithm initially assumes that each data instance represents a single cluster.
A) agglomerative clustering
B) conceptual clustering
C) K-Means clustering
D) expectation maximization

Question

Quizplus · Accepted Answer

Agglomerative clustering is a type of hierarchical clustering algorithm that initially treats each data instance as a single cluster and then iteratively merges these atomic clusters into larger and larger clusters, until all elements belong to a single cluster or some stopping criterion is met.

This Clustering Algorithm Initially Assumes That Each Data Instance Represents