getRSKCL1Boundry: Computes L1 boundry getRSKCL1Boundry
In neobernad/evaluomeR: Evaluation of Bioinformatics Metrics
View source: R/metricsAnalysis.R
getRSKCL1Boundry R Documentation
Computes L1 boundry
getRSKCL1Boundry
Description
Computes the L1 boundry for an RSKC cbi execution.
Usage
getRSKCL1Boundry(df, k, seed = NULL)
Arguments
df
Input data frame. The first column denotes the identifier of the
evaluated individuals. The remaining columns contain the metrics used to
evaluate the individuals. Rows with NA values will be ignored.
k
K value (number of clusters)
seed
Random seed to be used.
Value
A single L1 bound on weights (the feature weights), see RSKC.
Examples
data("ontMetrics")
l1_boundry = getRSKCL1Boundry(ontMetrics, k=3, seed=100)
neobernad/evaluomeR documentation built on Nov. 12, 2024, 11:29 p.m.
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View source: R/metricsAnalysis.R
| getRSKCL1Boundry | R Documentation |
Computes L1 boundry getRSKCL1Boundry
Description
Computes the L1 boundry for an RSKC cbi execution.
Usage
getRSKCL1Boundry(df, k, seed = NULL)
Arguments
df |
Input data frame. The first column denotes the identifier of the evaluated individuals. The remaining columns contain the metrics used to evaluate the individuals. Rows with NA values will be ignored. |
k |
K value (number of clusters) |
seed |
Random seed to be used. |
Value
A single L1 bound on weights (the feature weights), see RSKC.
Examples
data("ontMetrics")
l1_boundry = getRSKCL1Boundry(ontMetrics, k=3, seed=100)
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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