Description Usage Arguments Details Value Author(s) References See Also Examples

Initialize latent varaibles based on the number of components. The function is run before the VB-EM iteration in vbgmm.

1 | ```
initialization(X, init)
``` |

`X` |
D x N numeric vector or matrix of observations |

`init` |
Based on the dimension, init is expected to be one of the followings: scalar: number of components; vector: intial class labels; matrix: initialize with a D x K matrix for D variables and K components. |

The function is expected to be used by vbgmm to initialize assignments of latent varaibles before VM-EM iterations.

`R` |
N by K matrix for N observations and K latent components (defined by init) |

Yue Li

Mo Chen (2012). Matlab code for Variational Bayesian Inference for Gaussian Mixture Model. http://www.mathworks.com/matlabcentral/fileexchange/35362-variational-bayesian-inference-for-gaussian-mixture-model

1 |

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