calcFGCMBelongMatrix: Calculate the generalized membership matrix
In JeremyGelb/geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification
calcFGCMBelongMatrix R Documentation
Calculate the generalized membership matrix
Description
Calculate the generalized membership matrix according to a set of
centroids, the observed data, the fuzziness degree, and a beta parameter
Usage
calcFGCMBelongMatrix(centers, data, m, beta, sigmas)
Arguments
centers
A matrix representing the centers of the
clusters with p columns and k rows
data
A matrix representing the observed data with n rows
and p columns
m
A float representing the fuzziness degree
beta
A float for the beta parameter (control speed convergence and classification crispness)
sigmas
A numeric vector for calculating the robust version of the FCM. Filled with ones
if the classical version is required
Value
A n * k matrix representing the belonging probabilities of each
observation to each cluster
JeremyGelb/geocmeans documentation built on Nov. 20, 2024, 2:50 p.m.
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| calcFGCMBelongMatrix | R Documentation |
Calculate the generalized membership matrix
Description
Calculate the generalized membership matrix according to a set of centroids, the observed data, the fuzziness degree, and a beta parameter
Usage
calcFGCMBelongMatrix(centers, data, m, beta, sigmas)
Arguments
centers |
A matrix representing the centers of the clusters with p columns and k rows |
data |
A matrix representing the observed data with n rows and p columns |
m |
A float representing the fuzziness degree |
beta |
A float for the beta parameter (control speed convergence and classification crispness) |
sigmas |
A numeric vector for calculating the robust version of the FCM. Filled with ones if the classical version is required |
Value
A n * k matrix representing the belonging probabilities of each observation to 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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