43 PM
To: [email protected]
Subject: [scikit-learn] Clustering 4 dimensional data
⚠ EXT MSG:
I'm having trouble understanding how to cluster multidimensional data.
Specifically, a 4 dimensional array.
test =
3,10],[1,5],[3,18]],[[3,1],[0,0],[0,0]],[[3,3],[1,5],[0,0]]],[[[1,5],
Sometimes, when you need to find homogeneous subtensors, you can refer to
it as multimodal clustering, an extension of biclustering. I cannot see
clearly whether this is the case here.
28 февр. 2017 г. 6:54 пользователь "Joel Nothman"
написал:
What do your four dimensions mean? Can you reshape y
I don't see an array of four-dimensional vectors. As such, it is not clear which numbers group together as a single observation. An array of n-dimensional vectors would, as a whole, have a dimension of 2 and should be processed by KNN.I see a four-dimensional array of numbers. That's something quit
What do your four dimensions mean? Can you reshape your data such that it
can be seen as a collection of 1d vectors drawn independently from some
distribution?
On 28 February 2017 at 14:43, Rohan Koodli wrote:
> I'm having trouble understanding how to cluster multidimensional data.
> Specificall
I'm having trouble understanding how to cluster multidimensional data.
Specifically, a 4 dimensional array.
test =
3,10],[1,5],[3,18]],[[3,1],[0,0],[0,0]],[[3,3],[1,5],[0,0]]],[[[1,5],[2,7],[0,0]],[[1,7],[0,0],[0,0]],[[0,0],[0,0],[0,0
from sklearn import mixture
gmm = mixture.GMM()
gmm.
