my_merge: EM Baggenstoss: my_merge
| my_merge | R Documentation |
EM Baggenstoss: my_merge
Description
Merges two gmix modes.
Usage
my_merge(Weight1, Mean1, Covariance1, Weight2, Mean2, Covariance2)
Arguments
Weight1 |
Numerical value with weight of first mode. |
Mean1 |
Numerical vector with mean of first mode (d-dimensional where d denotes the features dimension). |
Covariance1 |
Numerical matrix with covariance matrix of first mode (dxd matrix where d denotes the feature's dimension). |
Weight2 |
Numerical value with weight of second mode. |
Mean2 |
Numerical vector with mean of second mode (d-dimensional where d denotes the features dimension). |
Covariance2 |
Numerical matrix with covariance matrix of second mode (dxd matrix where d denotes the feature's dimension). |
Value
List with
Weight |
Numerical value with weight of merged mode. |
Mean |
Numerical vector with mean of merged mode (d-dimensional where d denotes the features dimension). |
Covariance |
Numerical matrix with covariance matrix of merged mode (dxd matrix where d denotes the feature's dimension). |
Author(s)
Quirin Stier
References
Baggenstoss, Paul M., and T. E. Luginbuhl.: An EM algorithm for joint model estimation. IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), Phoenix, AZ, USA, 1999, pp. 1825-1828 vol.4, IEEE, doi:10.1109/ICASSP.1999.758276, 1999.
