update_weights: update_weights: 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
Update the probability values for specific data points that change between the heaps.
Usage
1
update_weights(temp_weights, weights, index_list, num_clusters)
Arguments
temp_weights
(matrix): A matrix of probabilistic weights for leaf data.
weights
(matrix): A matrix of probabilistic weights for all data.
index_list
(vector): A vector of indices.
num_clusters
(numeric): The number of clusters.
Value
Updated probabilistic weights 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
Update the probability values for specific data points that change between the heaps.
Usage
1 | update_weights(temp_weights, weights, index_list, num_clusters)
|
Arguments
temp_weights |
(matrix): A matrix of probabilistic weights for leaf data. |
weights |
(matrix): A matrix of probabilistic weights for all data. |
index_list |
(vector): A vector of indices. |
num_clusters |
(numeric): The number of clusters. |
Value
Updated probabilistic weights 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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