calcRobustSigmas: Calculate sigmas for the robust version of the c-means...
In JeremyGelb/geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification
calcRobustSigmas R Documentation
Calculate sigmas for the robust version of the c-means algorithm
Description
Calculate sigmas for the robust version of the c-means algorithm
Arguments
data
A Numeric matrix representing the observed data with n rows
and p columns
belongmatrix
A n X k matrix giving for each observation n, its
probability to belong to the cluster k
centers
A c X k matrix giving for each cluster c, its center in k dimensions
m
A float representing the fuzziness degree
Value
A vector with the sigmas for each cluster
JeremyGelb/geocmeans documentation built on Nov. 20, 2024, 2:50 p.m.
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| calcRobustSigmas | R Documentation |
Calculate sigmas for the robust version of the c-means algorithm
Description
Calculate sigmas for the robust version of the c-means algorithm
Arguments
data |
A Numeric matrix representing the observed data with n rows and p columns |
belongmatrix |
A n X k matrix giving for each observation n, its probability to belong to the cluster k |
centers |
A c X k matrix giving for each cluster c, its center in k dimensions |
m |
A float representing the fuzziness degree |
Value
A vector with the sigmas for each cluster
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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