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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   Mean
Silhouette
Connectivity Mean
Silhouette
Connectivity
J = 3 Original data: y 0.114 102.05 0.076 105.54
  Legendre coeff: LPC 0.531 25.036 0.511 23.932
  Fourier coeff: FC 0.270 61.628 0.235 63.621
J = 4 Original data: y 0.118 102.691 0.082 105.497
  Legendre coef: LPC 0.534 22.699 0.539 22.614
  Fourier coeff: FC 0.235 68.572 0.224 73.308
J = 5 Original data: y 0.116 101.743 0.081 105.343
  Legendre coeff: LPC 0.547 22.526 0.539 22.846
  Fourier coeff: FC 0.212 74.110 0.198 77.572