title: Numerical evaluation of cytologic data. VIII. Computation of the principal components.
abstract: The principal components transformation offers an effective methods for dimensionality reduction and for the assessment of the mutual dependence of observed variables in a data set. An iterative procedure, the so-called power method, for finding a multivariate distribution's eigenvectors and eigenvalues is demonstrated. The projection of feature vectors onto the principal components is shown.
mesh_terms: D002467:Cell Nucleus / Q000648:ultrastructure; D002843:Chromatin / Q000648:ultrastructure; D003584:Cytological Techniques; D008433:Mathematics
chemical_list: D002843:Chromatin