calcSFCMBelongMatrix {geocmeans}R Documentation

Calculate the membership matrix (spatial version)

Description

Calculate the membership matrix (spatial version) according to a set of centroids, the observed data, the fuzziness degree a neighbouring matrix and a spatial weighting term

Usage

calcSFCMBelongMatrix(centers, data, wdata, m, alpha)

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

wdata

A dataframe or matrix representing the lagged observed data with nrows and p columns

m

A float representing the fuzziness degree

alpha

A float representing the weight of the space in the analysis (0 is a typical fuzzy-c-mean algorithm, 1 is balanced between the two dimensions, 2 is twice the weight for space)

Value

A n * k matrix representing the belonging probabilities of each observation to each cluster

Examples

#This is an internal function, no example provided

[Package geocmeans version 0.1.1 Index]