GridModel - PCA (old)

Model parameters

Size: 8x8 points

Sources:

  • (1/2, 1) # [0, 300]
  • (0, 1/3) # [200 600]
  • (2/3, 1/4) # [500 800]

=> source point # [iteration on, iteration off]

Max iteration: 800
Start iteration: 10

k = 2pi
omega = 1

Gauss parameters:

  • mi1 = -0.2 * ones(8)
  • mi2 = 0.6 * ones(8)
  • sigma1 = sigma2 = 4.0

Trajectories from FSD

g8_fsd.png

PC Scores

Representation of data in the principal component space.
The PC numbers are in order of decreasing component variance.

g8_1x2_L.png
g8_1x3_L.png
g8_1x4_L.png
g8_2x3_L.png
g8_2x4_L.png
g8_3x4_L.png

PC Coefficients (weights)

g8_pc-all.png
g8_pc1.png
g8_pc2.png
g8_pc3.png
g8_pc4.png