This clustering algorithm initially assumes that each data instance represents a single cluster.

Agglomerative clustering is a type of hierarchical clustering technique.

Initially, each data instance is considered as a separate cluster.

Clusters are merged step by step based on a defined similarity measure.

This process continues until all data points form a single cluster or meet a stopping criterion.

Key Point: It is a bottom-up approach to clustering.