calcFGCMBelongMatrixNoisy: Calculate the generalized membership matrix with a noise...

In geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification

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

geocmeans documentation built on Sept. 12, 2023, 9:06 a.m.