calcBelongMatrixNoisy: Calculate the membership matrix with a noise cluster

In JeremyGelb/geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification

Calculate the membership matrix with a noise cluster

Description

Calculate the membership matrix according to a set of centroids, the observed data and the fuzziness degree

Usage

calcBelongMatrixNoisy(centers, data, m, delta, sigmas)

Arguments

centers	A matrix or a dataframe representing the centers of the clusters with p columns and k rows
data	A dataframe or matrix representing the observed data with n rows and p columns
m	A float representing the fuzziness degree
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 probability of belonging of each observation to each cluster

JeremyGelb/geocmeans documentation built on Nov. 20, 2024, 2:50 p.m.