gmm: Gaussian Mixture Model clustering
In teramonagi/scdv: SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
Description
Gaussian Mixture Model clustering
Usage
1
Arguments
wv
Word vectors(word embedding expression)
k
The number of clusters
args
Parameters for GMM model ( parameters of ClusterR::center_scale and ClusterR::GMM )
teramonagi/scdv documentation built on June 1, 2019, 3:58 a.m.
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Description
Gaussian Mixture Model clustering
Usage
1 |
Arguments
wv |
Word vectors(word embedding expression) |
k |
The number of clusters |
args |
Parameters for GMM model ( parameters of ClusterR::center_scale and ClusterR::GMM ) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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