Description Usage Arguments Value Author(s) References Examples
Fit the Tensor Gaussian Mixture Model (TGMM)
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Xn |
The tensor for clustering, should be array tpye, the last dimension is the sample size |
K |
Nuber of clusters, greater than or equal to |
shape |
"shared" if assume common covariance across mixtures, "distinct" if allow different covariance structures. Default value is "shared". |
initial |
Initialization methed for the regularized EM algorithm. Default value is "kmeans". |
iter.max |
Maximum number of iterations. Default value is |
stop |
Convergence threshold of relative change in cluster means. Default value is |
trueY |
A vector of true cluster labels of each observation. Default value is NULL. |
print |
Whether to print information including current iteration number, ralative change in cluster means
and clustering error ( |
id |
A vector of estimated labels. |
pi |
Estimated cluster wight. |
eta |
A |
Mu.est |
A list of estimated cluster means. |
SIG.est |
A list of estimated covariance matrices. |
Kai Deng, Xin Zhang
Deng, K. and Zhang, X. (2020) Tensor Envelope Mixture Model For Simultaneous Clustering and Multiway Dimension Reduction, Manuscript.
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