Thank you very much for those suggestions, it really helped me a lot.
I just got another problem, i want to run flexmix GLM binomial model with
huge dataset (say 5 million rows), but the problem is i cant run flexmix
with this dataset as a whole in R ( it will crash). So is it fair to run the
fle
Hi,
I built a flexmix GLM binomial model with 200 observations and the model
gave me 2 clusters, so if the model is named as newModel then i get the
cluster index for each row using newModel@clusters. Now is there any way to
predict which cluster the new observation or 201 observation belongs t
?clusters tells you how to get class membership for new data
(and the appropriate way of getting cluster membership is to use
clusters(newModel) rather newModel@clusters)
hth, Ingmar
On Tue, Feb 7, 2012 at 8:48 AM, loyolite270 wrote:
> Hi
>
> I built a flexmix GLM binomial model with 200 observa
Hi
I built a flexmix GLM binomial model with 200 observations and the model
gave me 2 clusters, so if the model is named as newModel then i get the
cluster index for each row using newModel@clusters. Now is there any way to
predict which cluster the new observation or 201 observation belongs to
u
hi
I built a flexmix GLM binomial model with 200 observations and the model
gave me 2 clusters, so if the model is named as newModel then i get the
cluster index for each row using newModel@clusters. Now is there any way to
predict which cluster the new observation or 201 observation belongs to
u
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