my_jack: Partition sorting based on Jaccard index
In LilithF/doMIsaul: Do Multiple Imputation-Based Semi-Supervised and Unsupervised Learning
Description
Usage
Arguments
Value
Description
Evaluates if all partitions are the same (and thus no consensus algorithm
needed) and may pre-select partitions depending on a threshold on the Jaccard
index
Usage
1
Arguments
data
dataframe containing the partitions (factors). Specifically, each
column must be a partition and must be a factor.
mcons.JAC.sel
Numeric (in (0, 1)), minimum Jaccard index value
between partitions to keep them (0 = all partitions kept).
Value
dataframe of partitions with only the partitions satisfying the
conditions kept.
LilithF/doMIsaul documentation built on Dec. 17, 2021, 12:08 a.m.
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Description Usage Arguments Value
Description
Evaluates if all partitions are the same (and thus no consensus algorithm needed) and may pre-select partitions depending on a threshold on the Jaccard index
Usage
1 |
Arguments
data |
dataframe containing the partitions (factors). Specifically, each column must be a partition and must be a factor. |
mcons.JAC.sel |
Numeric (in (0, 1)), minimum |
Value
dataframe of partitions with only the partitions satisfying the conditions kept.
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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