Hello
Sorry for the double post, I think there was a problem with my previous
message.
I am trying to use the DPGMM technique (
http://scikit-learn.org/stable/modules/generated/sklearn.mixture.DPGMM.html)
to find classes of data in 1-dimensional vectors.
The extracted variance/standard devaition
Hi
I am trying to use the DPGMM technique (
http://scikit-learn.org/stable/modules/generated/sklearn.mixture.DPGMM.html)
to find classes of data in 1-dimensional vectors.
The extracted variance/standard devaition seems a bit off: either
underestimated or overestimated compared to dpcluster (
https