EM: EM algorithm
In wangtengyao/putils: Personal Utility Functions
EM R Documentation
EM algorithm
Description
EM algorithm with identity covariance matrix for all groups
Usage
EM(X, num_clusters, tol = 1e-10)
Arguments
X
data matrix of dimension n x p
num_clusters
number of clusters
tol
tolerance for convergence
Value
a list: mu_hat - the estimated cluster centroids and soft_label -
the estimated cluster membership
wangtengyao/putils documentation built on Nov. 26, 2024, 2:01 a.m.
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| EM | R Documentation |
EM algorithm
Description
EM algorithm with identity covariance matrix for all groups
Usage
EM(X, num_clusters, tol = 1e-10)
Arguments
X |
data matrix of dimension n x p |
num_clusters |
number of clusters |
tol |
tolerance for convergence |
Value
a list: mu_hat - the estimated cluster centroids and soft_label - the estimated cluster membership
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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