maximisation_uv: maximisation_uv: Part of DCEM package.
In parichit/DCEM: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm
Description
Usage
Arguments
Value
View source: R/dcem_em_utils.R
Description
Calculates meu, sigma and prior based on the updated probability weight matrix.
Usage
1
maximisation_uv(data, weights, meu, sigma, prior, num_clusters, num_data)
Arguments
data
(matrix): The input data.
weights
(matrix): The probability weight matrix.
meu
(vector): The vector of meu.
sigma
(vector): The vector of sigma (standard-deviations).
prior
(vector): The vector of priors.
num_clusters
(numeric): The number of clusters.
num_data
(numeric): The total number of observations in the data.
Value
Updated values for meu, sigma and prior.
parichit/DCEM documentation built on Jan. 22, 2022, 6:13 p.m.
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Description Usage Arguments Value
View source: R/dcem_em_utils.R
Description
Calculates meu, sigma and prior based on the updated probability weight matrix.
Usage
1 | maximisation_uv(data, weights, meu, sigma, prior, num_clusters, num_data)
|
Arguments
data |
(matrix): The input data. |
weights |
(matrix): The probability weight matrix. |
meu |
(vector): The vector of meu. |
sigma |
(vector): The vector of sigma (standard-deviations). |
prior |
(vector): The vector of priors. |
num_clusters |
(numeric): The number of clusters. |
num_data |
(numeric): The total number of observations in the data. |
Value
Updated values for meu, sigma and prior.
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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