AUC_ln_K: Area under the 'RN_X' curve
In gdkrmr/coRanking: Co-Ranking Matrix
AUC_ln_K R Documentation
Area under the RN_X curve
Description
Area under the R_{NX}(K) curve when K is put on a logarithmic scale.
Usage
AUC_ln_K(R_NX)
Arguments
R_NX
The R_NX curve, a vector of values
Details
It is calculated as:
AUC_{\ln K}(R_{NX}(K)) = \left(\sum_{K=1}^{N-2}R_{NX}(K)/K\right)/\left(\sum_{K=1}^{N-2}1/K\right)
Value
A value, the area under the curve.
Author(s)
Guido Kraemer
References
Lee, J. A., Peluffo-Ordóñez, D. H., & Verleysen, M., 2015. Multi-scale
similarities in stochastic neighbour embedding: Reducing dimensionality
while preserving both local and global structure. Neurocomputing, 169,
246–261. https://doi.org/10.1016/j.neucom.2014.12.095
gdkrmr/coRanking documentation built on March 23, 2023, 5:43 a.m.
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| AUC_ln_K | R Documentation |
Area under the RN_X curve
Description
Area under the R_{NX}(K) curve when K is put on a logarithmic scale.
Usage
AUC_ln_K(R_NX)
Arguments
R_NX |
The R_NX curve, a vector of values |
Details
It is calculated as:
AUC_{\ln K}(R_{NX}(K)) = \left(\sum_{K=1}^{N-2}R_{NX}(K)/K\right)/\left(\sum_{K=1}^{N-2}1/K\right)
Value
A value, the area under the curve.
Author(s)
Guido Kraemer
References
Lee, J. A., Peluffo-Ordóñez, D. H., & Verleysen, M., 2015. Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Neurocomputing, 169, 246–261. https://doi.org/10.1016/j.neucom.2014.12.095
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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