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The name of the attribute is "concern", and the value of the attribute is given by the variablel ${concern}.
The attribute is quite useful for improved faults and fault zones detection.
Such constraint is called "constant boundary constraint" (the attribute is called "constant attribute").
The attribute is called quasi-identifiers when it is not considered as sensitive.
The attribute is then assigned to the cluster with that center.
If the re-created descriptor is different from the original, the attribute is changed to down.
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A blank indicates that the attribute was not mentioned.
Thus, studying correlation among all the attributes is essential.
The order to grade the attributes is randomized except that the attribute preference is always graded last.
The fit between the attributes is more important than the individual attributes themselves.
The attributes are presented in Fig. 3.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com