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Numerical Algorithms Group
NAG Toolbox for MATLAB

  • G03 Introduction
  • g03aa – Performs principal component analysis
  • g03ac – Performs canonical variate analysis
  • g03ad – Performs canonical correlation analysis
  • g03ba – Computes orthogonal rotations for loading matrix, generalized orthomax criterion
  • g03bc – Computes Procrustes rotations
  • g03ca – Computes maximum likelihood estimates of the parameters of a factor analysis model, factor loadings, communalities and residual correlations
  • g03cc – Computes factor score coefficients (for use after g03ca)
  • g03da – Computes test statistic for equality of within-group covariance matrices and matrices for discriminant analysis
  • g03db – Computes Mahalanobis squared distances for group or pooled variance-covariance matrices (for use after g03da)
  • g03dc – Allocates observations to groups according to selected rules (for use after g03da)
  • g03ea – Computes distance matrix
  • g03ec – Hierarchical cluster analysis
  • g03ef – K-means cluster analysis
  • g03eh – Constructs dendrogram (for use after g03ec)
  • g03ej – Computes cluster indicator variable (for use after g03ec)
  • g03fa – Performs principal co-ordinate analysis, classical metric scaling
  • g03fc – Performs non-metric (ordinal) multidimensional scaling
  • g03za – Produces standardized values (z-scores) for a data matrix