geofcm: GEOFCM based on Yoshida et al. (2018)

In atusy/geofcm: A fuzzy clustering method which weights membership degrees based on geographical distribution of data points

Description

GEOFCM is an extention of spatial fuzzy c-means (sFCM), which is an extention of FCM,

Usage

geofcm(x, coord, C, m = 1.5, q = 1.5, r = NULL, preprocess = c("whiten",
  "scale", NA), iter.max = 100L, th = 1e-05)

Arguments

x	matrix or data.frame containing observed data other than coordinates
coord	matrix or data.frame containing coordinate data
C	number of clusters
m	Controls fuzziness basedd on fuzzy c-means (default = 1.5)
q	Controls fuzziness based on distance (default = 1.5)
r	Distance in km to find neighbors of each data point. Default value is NULL and use median distance among data points.
preprocess	Either 'whiten', 'scale', or NA. NA avoids preprocessing.
iter.max	an integer indicating maximum iteration for clustering (default = 100L).
th	a numeric indicating threshold to determine convergence (default = 1e-5).

atusy/geofcm documentation built on May 12, 2019, 10:31 p.m.