resume: Suppression and Information Loss Metrics
In yongcha/entroPD: Anonymization based on Entropy
Description
Usage
Arguments
Value
Description
Suppression and Information Loss Metrics
Usage
1
Arguments
dat
eclass object
kanon
k of k-Anonymity
maxsup
threshold of k
...
Value
Suppression and Information Loss Metrics. Information Loss Metrics are Discernbility Metric (DM) and Entropy
yongcha/entroPD documentation built on May 23, 2019, 9:05 p.m.
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Description Usage Arguments Value
Description
Suppression and Information Loss Metrics
Usage
1 |
Arguments
dat |
|
kanon |
k of k-Anonymity |
maxsup |
threshold of k |
... |
Value
Suppression and Information Loss Metrics. Information Loss Metrics are Discernbility Metric (DM) and Entropy
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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