RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames

Graphical toolbox for clustering and classification of data frames. It proposes a graphical interface to process clustering and classification methods on features data-frames, and to view initial data as well as resulted cluster or classes. According to the level of available labels, different approaches are proposed: unsupervised clustering, semi-supervised clustering and supervised classification. To assess the processed clusters or classes, the toolbox can import and show some supplementary data formats: either profile/time series, or images. These added information can help the expert to label clusters (clustering), or to constrain data frame rows (semi-supervised clustering), using Constrained spectral embedding algorithm by Wacquet et al. (2013) <doi:10.1016/j.patrec.2013.02.003> and the methodology provided by Wacquet et al. (2013) <doi:10.1007/978-3-642-35638-4_21>.

Package details

AuthorGuillaume Wacquet [aut], Pierre-Alexandre Hebert [aut, cre], Emilie Poisson [aut], Pierre Talon [aut]
MaintainerPierre-Alexandre Hebert <hebert@univ-littoral.fr>
LicenseGPL (>= 2)
URL http://mawenzi.univ-littoral.fr/RclusTool/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

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RclusTool documentation built on Feb. 4, 2020, 5:08 p.m.