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Table 4 The Euclidean distance matrix for synthetic datasets 1, 2 and 3.

From: A temporal precedence based clustering method for gene expression microarray data

Dataset 1       
Node 1 2 3 4 5  
1 0 50.6180 60.5454 66.3305 53.7858  
2 50.6180 0 49.0080 57.3540 35.0406  
3 60.5454 49.0080 0 21.1572 36.9004  
4 66.3305 57.3540 21.1572 0 46.7355  
5 53.7858 35.0406 36.9004 46.7355 0  
Dataset 2       
Node 1 2 3 4   
1 0 57.2707 49.4072 54.0319   
2 57.2707 0 35.4161 23.3695   
3 49.4072 35.4161 0 28.6682   
4 54.0319 23.3695 28.6682 0   
Dataset 3       
Node 1 2 3 4 5 6
1 0 32.1456 32.0493 31.7813 33.2172 34.6842
2 32.1456 0 25.0916 25.6146 28.3732 27.0407
3 32.0493 25.0916 0 21.9953 22.6557 28.4800
4 31.7813 25.6146 21.9953 0 24.4613 25.7756
5 33.2172 28.3732 22.6557 24.4613 0 30.6190
6 34.6842 27.0407 28.4800 25.7756 30.6190 0