gmm_init_vector_kmeans {MixtureFitting} | R Documentation |
Estimate Gaussian Mixture parameters using Expectation Maximization.
Description
Estimate an initialization vector for Gaussian mixture fitting using k-means. R implementation of k-means in kmeans() is used to find data point assignment to clusters.
Usage
gmm_init_vector_kmeans( x, m )
Arguments
x |
data vector |
m |
number of mixture components |
Value
Parameter vector of 3*n parameters, where n is number of mixture components. Structure of p vector is p = c( A1, A2, ..., An, mu1, mu2, ..., mun, sigma1, sigma2, ..., sigman ), where Ai is the proportion of i-th component, mui is the location of i-th component, sigmai is the scale of i-th component.
Author(s)
Andrius Merkys
[Package MixtureFitting version 0.6.1 Index]