COIN: Correlation Index-Based Similarity Measure for Clustering Categorical Data

Table 5

Results of COIN algorithm on the example data considered.

Cluster	Class1	Class2	No. of dominating instances in the cluster
Cluster1	2	2	2
Cluster2	2	2	2
Total no. of dominating instances in all clusters			4
Clustering accuracy = 0.5