calcSFGCMBelongMatrix {geocmeans} | R Documentation |
Calculate the generalized membership matrix (spatial version) according to a set of centroids, the observed data, the fuzziness degree a neighbouring matrix, a spatial weighting term and a beta parameter
calcSFGCMBelongMatrix(centers, data, wdata, m, alpha, beta)
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) |
beta |
A float for the beta parameter (control speed convergence and classification crispness) |
A n * k matrix representing the belonging probabilities of each observation to each cluster
#This is an internal function, no example provided