geocmeans: 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 <doi:10.1016/j.patcog.2006.07.011> and Zaho and al. 2013 <doi:10.1016/j.dsp.2012.09.016>) and recently applied in geography (see Gelb and Apparicio <doi:10.4000/cybergeo.36414>).

Package details

AuthorJeremy Gelb [aut, cre], Philippe Apparicio [ctb]
MaintainerJeremy Gelb <jeremy.gelb@ucs.inrs.ca>
LicenseGPL-2
Version0.1.1
URL https://github.com/JeremyGelb/geocmeans
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("geocmeans")

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geocmeans documentation built on April 21, 2021, 9:07 a.m.