After the first previous results on Principal Component Analysis . I propose a Discriminant Analysis to try to obtain a better grouping description.
This method could, based on the fact that group or class exists, to propose a better data definition, specification and understanding.
The discriminant analysis method is :
The data to study are:
the target of the discriminant analysis est to study the linear projection
in maximizing the difference between variables.
Where Sw is the Intra class and Sb the Inter Class.
The result on first two axes is:
We discover a result where the data are grouped on one area. No classes appear. It s reaaly not better than the PCA study.
This method could, based on the fact that group or class exists, to propose a better data definition, specification and understanding.
The discriminant analysis method is :
The data to study are:
in maximizing the difference between variables.
The result on first two axes is:
We discover a result where the data are grouped on one area. No classes appear. It s reaaly not better than the PCA study.
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