Table 1 Comparison of partitioning with principal points for original data, Legendre polynomial coefficients and Fourier coefficients in 500 repetitions and m = 20 repeated design points with low noise σ = 0.5 and high noise σ = 1.5
From: Partitioning of functional gene expression data using principal points
|  | K = 6 subsets | σ = 0.5 | σ = 1.5 | ||
|---|---|---|---|---|---|
Number of coeff | Â | Mean Silhouette | Connectivity | Mean Silhouette | Connectivity |
JÂ =Â 3 | Original data: y | 0.114 | 102.05 | 0.076 | 105.54 |
| Â | Legendre coeff: LPC | 0.531 | 25.036 | 0.511 | 23.932 |
| Â | Fourier coeff: FC | 0.270 | 61.628 | 0.235 | 63.621 |
JÂ =Â 4 | Original data: y | 0.118 | 102.691 | 0.082 | 105.497 |
| Â | Legendre coef: LPC | 0.534 | 22.699 | 0.539 | 22.614 |
| Â | Fourier coeff: FC | 0.235 | 68.572 | 0.224 | 73.308 |
JÂ =Â 5 | Original data: y | 0.116 | 101.743 | 0.081 | 105.343 |
| Â | Legendre coeff: LPC | 0.547 | 22.526 | 0.539 | 22.846 |
| Â | Fourier coeff: FC | 0.212 | 74.110 | 0.198 | 77.572 |