calcFGCMBelongMatrixNoisy {geocmeans} | R Documentation |
Calculate the generalized membership matrix with a noise cluster
Description
Calculate the generalized membership matrix according to a set of centroids, the observed data, the fuzziness degree, and a beta parameter
Usage
calcFGCMBelongMatrixNoisy(centers, data, m, beta, delta, 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) |
delta |
A float, the value set for delta by the user |
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
[Package geocmeans version 0.3.4 Index]