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Table 5 Comparison of the proposed approach against two existing methods for heterogeneous data integration

From: A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration

Method

NMI

SMI

The proposed two-tiered clustering

0.66

36.11

Concatenating all heterogeneous features into a single vector (H y )

0.60

22.26

Averaging summarized heterogeneous (pairwise) similarities (H z )

0.64

33.59