All Questions
4
questions
1
vote
1
answer
136
views
Deciding the Number of Clusters : Standard Methods vs. Non-Parametric Methods
I was watching this video over here (https://www.youtube.com/watch?v=UBiaLq5V7mE) that discussed a Non-Parametric based Bayesian approach for deciding the number of clusters in a dataset.
Essentially, ...
1
vote
0
answers
74
views
Clustering and Dirichlet process' parameter
I am reading a paper in which they describe a bayesian model in which the prior $a_i$ is defined as a Dirichlet Process (DP). They say: "We use a DP to find the optimal $a_i$ via clustering".
Later on ...
- 11
8
votes
2
answers
665
views
What is a mixture of finite mixtures?
A mixture of finite mixture models seem to be an interesting Bayesian (?) approach to solving clustering with an unknown $k$ number of components. It seems though, unlike the mixture model with a ...
- 3,056
19
votes
2
answers
6k
views
Nonparametric Bayesian analysis in R
I am looking for a good tutorial on clustering data in R using hierarchical dirichlet process (HDP) (one of the recent and popular nonparametric Bayesian methods).
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- 6,712