A Tool for Writing Cleaner, more Transparent Code
To create clearer, more concise code provides this
toolbox helps coders to isolate the essential parts of a script that
produces a chosen result, such as an object, tables and figures
written to disk and even warnings and errors. This work
was funded by US National Science Foundation grant
SSI-1450277 for applications of End-to-End Data Provenance.

Graphical Toolbox for Clustering and Classification of Data
Frames
c(   person("Guillaume", "Wacquet", role = c("aut"),
email = "wacquet@univ-littoral.fr"),
person("Pierre-Alexandre", "Hebert", role = c("aut", "cre"),
email = "hebert@univ-littoral.fr"),
person("Emilie", "Poisson", role = c("aut"),
email = "poisson@univ-littoral.fr"),
person("Pierre", "Talon", role = c("aut"),
email = "p_talon@hotmail.fr"))
Guillaume Wacquet [aut],
Pierre-Alexandre Hebert [aut, cre],
Emilie Poisson [aut],
Pierre Talon [aut]
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>.
class, cluster, conclust, corrplot, e1071, factoextra,
FactoMineR, ggplot2, grid, jpeg, MASS, mclust, mda, mmand,
nnet, png, randomForest, reshape, sp, stringi, stringr, tools

class, cluster, conclust, corrplot, e1071, factoextra,
FactoMineR, ggplot2, grid, jpeg, knitr, MASS, mclust, mda,
mmand, nnet, png, randomForest, reshape, rlang, SearchTrees,
sp, stats, stringi, stringr, tools