Cluster Statistics

Zingg Enterprise Feature

Cluster Stats

• z_cluster_count = n: Number of records in the cluster (cluster size).

• z_cluster_edges: Total number of deterministic and probabilistic pairs among records in the cluster. This shows all the pairwise connections formed within the cluster.

• z_cluster_deterministic_edges: Total number of deterministic edges among records in the cluster as configured through the determinstic rules.

• z_cluster_centrality = z_cluster_edges / (nC2): Edge density of connections in the cluster. Values near 1 → dense clusters (almost all pairs connected); lower values → sparse clusters.

• z_cluster_determinism = z_cluster_deterministic_edges / (nC2): Proportion of connectivity driven by deterministic rules. Higher means more rule-driven cluster cohesion.

Note:

• nC2 (combinations of n records taken 2 at a time) equals n*(n-1)/2.

Tip

• Watch determinism ratio: Rising z_cluster_determinism over iterations usually means your rules are improving.