cost_function_derivative: Calculates the derivative for the cost function of the...
In Jeroentjeh/opthierarch: Hiearchical clustering with optimised Gower's metric's weights
Description
Usage
Arguments
Value
Author(s)
References
Description
Calculates the derivative for the cost function of the K-medoids algorithm for the given input. Should not be used by the user.
Usage
1
cost_function_derivative(w, var_list)
Arguments
w
The weight vector of length n-1, where n is the number of variables, for the first n-1 . See the reference in find_kmedoids_weights for the explanation.
var_list
A list of variables containing the following: data, the relevant data. method, the number of cluster k. bounds, the bounds on the weights. fk: see find_kmedoids_weights for details.
Value
Cost function derivative
The cost function derivative of this clustering with the given weights. A vector of length n-1.
Author(s)
Jeroen van den Hoven
References
Clustering with optimised weights for Gower's metric: Using hierarchical clustering and Quasi-Newton methods to maximise the cophenetic correlation coefficient, Jeroen van den Hoven.
Jeroentjeh/opthierarch documentation built on May 26, 2019, 7:28 a.m.
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Description Usage Arguments Value Author(s) References
Description
Calculates the derivative for the cost function of the K-medoids algorithm for the given input. Should not be used by the user.
Usage
1 | cost_function_derivative(w, var_list)
|
Arguments
w |
The weight vector of length |
var_list |
A list of variables containing the following: data, the relevant data. method, the number of cluster k. bounds, the bounds on the weights. fk: see |
Value
Cost function derivative |
The cost function derivative of this clustering with the given weights. A vector of length |
Author(s)
Jeroen van den Hoven
References
Clustering with optimised weights for Gower's metric: Using hierarchical clustering and Quasi-Newton methods to maximise the cophenetic correlation coefficient, Jeroen van den Hoven.
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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