August 2016
Intermediate to advanced
204 pages
3h 51m
English
As we know that each Gaussian is represented by a combination of mean and variance, if we have a mixture of M Gaussian distributions, then the weight of each Gaussian will be a third parameter related to each Gaussian distribution in a Gaussian mixture model (GMM). The following equation represents a GMM with M components.
where wk represents the weight of the kth component. The mean and covariance of kth components are represented by θk = (µk, ∑k). p(x|θk), which is the Gaussian density of the kth component and is a D-variate Gaussian function of the following form:
Sum of values of wk for different values ...