PCA + LVQ - Wizualizacje

rozdzial

ww.google.pl

  1. dsa
  2. djksla
  3. jkdls

Ustawienia modelu

 Method            lvq+pca
 Initialization    5
 LVQ learnign rate 0.010000
 Attraction force  0.050000
 Max. projections  5
 K range           2 10 20 
 Attraction step   10
 Precision (eps)   0.030000

Wyniki uczenia

Dataset Model
vec feat acc. #P #K
appendi 106 7 87.74 1.00 2.00
australian-statlog 690 14 86.52 1.00 2.00
bitsymetry15x100 100 15 79.00 2.00 6.00
bitsymetry20x100 100 20 68.00 1.00 3.00
breast-cancer-wisconsin-nomis 683 9 96.34 1.00 2.00
czerniak-trs 250 14 74.80 1.00 8.00
glass 214 9 64.95 1.00 6.00
heart-statlog 270 13 82.59 1.00 2.00
ionosphere 200 34 82.00 1.00 4.00
iris 150 4 96.67 1.00 3.00
lbreast-nomis 277 9 75.81 1.00 2.00
led500 500 7 55.20 3.00 8.00
monks1 124 6 74.19 1.00 2.00
monks2 169 6 72.78 1.00 4.00
monks3 122 6 81.97 1.00 2.00
parity-10 1024 10 98.24 1.00 9.00
wine 178 13 95.51 2.00 3.00

Breast Cancer W. (nomis)

Iris

L. Breast

Monk's 1

Parity 10

Wine