MAP_smooth: Extract the classification by MAP estimator (complete or...
In andreamrau/maskmeans: Multi-view Aggregation and Splitting for K-Means Clustering
Description
Usage
Arguments
Value
Description
Extract the classification by MAP estimator (complete or "smooth")
Usage
1
MAP_smooth(probapost, seuil = 0.8)
Arguments
probapost
Matrix of posterior probabilities
seuil
Threshold, by default 0.80
Value
Vector of cluster labels. Observations with maximum conditional probabilithy less than threshold are
assigned a cluster label of 0.
andreamrau/maskmeans documentation built on Nov. 13, 2021, 7:44 a.m.
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Description Usage Arguments Value
Description
Extract the classification by MAP estimator (complete or "smooth")
Usage
1 | MAP_smooth(probapost, seuil = 0.8)
|
Arguments
probapost |
Matrix of posterior probabilities |
seuil |
Threshold, by default 0.80 |
Value
Vector of cluster labels. Observations with maximum conditional probabilithy less than threshold are
assigned a cluster label of 0.
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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