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Table 3 Sample Classes and Clustering Output. Each number in the table is the number of objects in its class or cluster

From: A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluation method

Classes

20

50

30

Clusters

20

53

27

 

No misclassified objects

3 objects misclassified

No misclassified objects