MPsuggestConfig: Suggest a set of clustering analyses for a dataset
In tkonopka/MultiPattern: Multi-Pattern Discovery Framework
Description
This function can take some time to execute for large datasets. This is
because the function applies principal component decompositions to parts of the
input data and stores the intermediate results in the MP object. This computation
speeds up subsequent steps of the MultiMetric analysis.
Usage
1
MPsuggestConfig(MP, data, verbose = TRUE)
Arguments
MP
MultiMetric configuration object
data
character. Name of dataset defined in MP.
verbose
logical. Set FALSE to make the function silent;
set TRUE to see updates (via message).
tkonopka/MultiPattern documentation built on May 31, 2019, 3:45 p.m.
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Description
This function can take some time to execute for large datasets. This is because the function applies principal component decompositions to parts of the input data and stores the intermediate results in the MP object. This computation speeds up subsequent steps of the MultiMetric analysis.
Usage
1 | MPsuggestConfig(MP, data, verbose = TRUE)
|
Arguments
MP |
MultiMetric configuration object |
data |
character. Name of dataset defined in MP. |
verbose |
logical. Set FALSE to make the function silent; set TRUE to see updates (via message). |
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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