The idea here is to demonstrate the effect of the tuning parameter lambda. One emphasis in the paper that we are leaning towards is stressing the benefits of relaxing the linearity assumptions of the LDA classifier.
The figure should display the following:
Contours for approximately 4-5 populations
The covariance matrices should be obviously different when lamdba = 0
The contours should be identical for lambda = 1
Display 5 subfigures each for lamdba = 0, 0.25, 0.5, 0.75, 1.
When lambda is introduced in the paper, add one sentence that says we demonstrate the effect of lambda in the figure.
The idea here is to demonstrate the effect of the tuning parameter
lambda. One emphasis in the paper that we are leaning towards is stressing the benefits of relaxing the linearity assumptions of the LDA classifier.The figure should display the following:
lamdba = 0lambda = 1lamdba = 0, 0.25, 0.5, 0.75, 1.When
lambdais introduced in the paper, add one sentence that says we demonstrate the effect oflambdain the figure.