final_estimator | Computes the leading eigenvector from its support |
project_covariance | Projects the sample covariance |
select_projection | Selects the best projection |
select_projections_subspace | Selects the best projections for the subspace estimation |
SPCAvRP | Computes the leading eigenvector using the SPCAvRP algorithm |
SPCAvRP_deflation | Computes the leading eigenvectors using the modified deflation scheme |
SPCAvRP_parallel | Parallel implementation of the SPCAvRP algorithm |
SPCAvRP_ranking | Ranks the variables |
SPCAvRP_subspace | Computes the leading eigenspace using the SPCAvRP algorithm for eigenspace estimation |