expectation_uv: expectation_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 the probabilistic weights for the univariate data.
Usage
1
expectation_uv(data, weights, meu, sigma, prior, num_clusters, tolerance)
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.
tolerance
(numeric): The system epsilon value.
Value
Updated probability weight matrix.
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 the probabilistic weights for the univariate data.
Usage
1 | expectation_uv(data, weights, meu, sigma, prior, num_clusters, tolerance)
|
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. |
tolerance |
(numeric): The system epsilon value. |
Value
Updated probability weight matrix.
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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