Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
a model that represents the presence of subpopulations within an overall population and describes the data in terms of a mixture distribution.
2
votes
1
answer
943
views
Is there a way to determine the number of the mixture components prior to run EM algorithm
I am working with mixture models. The common way to determine the number of
the mixture components is fitting several mixture models with a different number of mixture components and then select the b …
0
votes
0
answers
137
views
Would estimating a mixture model using MLE or EM provide different results?
I have built a very hard mixture R (code) using EM-algorithm. My supervisor asked me to repeat the estimation using MLE as it is simpler than EM-algorithm. Building another complex R code will take a …
0
votes
0
answers
199
views
latent variables in EM algorithm are assumed to be i.i.d from multinomial distribution, from...
In EM algorithm we introduce a latent variables, say $z_i$, $i=1,...n$, $n$ is the number of the mixture component. These variables ($z_i$) are assumed to be independent and identically distributed fr …