Axij matrix's goal is to work out if one variable class is represented in one accession.
Axij dimensions are:
We have to create classes from continuous distribution to permit the maximization algorithm process, because we want to maximize the number of classes in the core collection.
So, we split the values of equal-sized classes in which individuals are stored.
The Axij matrix contains the number of accessions for each variable class.
Example :
1 | 2 | 3 | 4 | 5 | 6 | 1 | 2 | 3 | 1 | 2 | |||
0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | |||
0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | |||
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 |
Note: you can get this matrix by selecting it in the debug choices of the Option menu
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