machine learning - Finding Gaussian Probabilities from predefined clusters -


i given set of defined clusters , vectors belong in these clusters. wish find gaussian probabilities every point wrt each defined cluster. best way find density functions of defined clusters or gaussian mixture parameters each cluster? parameters of density functions computed through em algorithm given clusters , points.

if have clusters, let mean , variance of each density function mean , variance of points in each cluster, , let mixing weight (number of points in cluster)/(total number of points).


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