z_ig_random_hard {mixture} | R Documentation |
Random Hard Initialization
Description
Generates an initialization matrix of size n times g using random hard.
Usage
z_ig_random_hard(n,g)
Arguments
n |
Number of rows, must be positive. |
g |
Number of columns, must be positive. |
Author(s)
Nik Pocuca, Ryan P. Browne and Paul D. McNicholas.
Maintainer: Paul D. McNicholas <mcnicholas@math.mcmaster.ca>
References
Browne, R.P. and McNicholas, P.D. (2014). Estimating common principal components in high dimensions. Advances in Data Analysis and Classification 8(2), 217-226.
Zhou, H. and Lange, K. (2010). On the bumpy road to the dominant mode. Scandinavian Journal of Statistics 37, 612-631.
Celeux, G., Govaert, G. (1995). Gaussian parsimonious clustering models. Pattern Recognition 28(5), 781-793.
Examples
z_init <- z_ig_random_hard(100,3)
[Package mixture version 2.1.1 Index]