Description Usage Arguments Value References

Poisson PCA

1 2 | ```
poisson_exp_pca(X, n_comp = 2, n_cycle = 30, n_iter = 30, eps = 1e-04,
lambda = 0.001, mu0 = NULL)
``` |

`X` |
The n x p Poisson matrix with samples along rows which we want to decompose using exponential family PCA. |

`n_comp` |
How many principal components should we return? |

`n_cycle` |
How many times should the iterative optimization pass through across each component? |

`n_iter` |
The maximum number of iterations to run the PCA. |

`eps` |
The convergence criterion. If the mean change in the scores is less than eps, we return. |

`lambda` |
The regularization parameter in the optimization. |

`mu0` |
The value to regularize towards. |

A list containing the converged values of A and V.

Collins, Michael, Sanjoy Dasgupta, and Robert E. Schapire. "A generalization of principal components analysis to the exponential family." Advances in neural information processing systems. 2001.

krisrs1128/expPCA documentation built on May 18, 2017, 11:45 p.m.

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