Implementing Methods for Spatial Fuzzy Unsupervised Classification

Provides functions to apply spatial fuzzy unsupervised classification, visualize and interpret results. This method is well suited when the user wants to analyze data with a fuzzy clustering algorithm and to account for the spatial dimension of the dataset. Indexes for estimating the spatial consistency and classification quality are proposed in addition. The methods were originally proposed in the field of brain imagerie (seed Cai and al. 2007 and Zaho and al. 2013 ) and recently applied in geography (see Gelb and Apparicio ).


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install.packages("geocmeans")

0.1.1 by Jeremy Gelb, a month ago


https://github.com/JeremyGelb/geocmeans


Report a bug at https://github.com/JeremyGelb/geocmeans/issues


Browse source code at https://github.com/cran/geocmeans


Authors: Jeremy Gelb [aut, cre] , Philippe Apparicio [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports ggplot2, spdep, reldist, dplyr, fclust, fmsb, broom, future.apply, progressr, reshape2, sp, stats

Suggests knitr, rmarkdown, markdown, maptools, rgeos, future, ppclust, ClustGeo, car, rgl, ggpubr, RColorBrewer, kableExtra, viridis, testthat, sf


See at CRAN