ElbowPlot

tk-notebook in which the Elbow plot will be made.

method.space.name

: environment in which data and intermediate results are stored.

RclusTool.env

numeric value corresponding to the horizontal scale of graphic

hscale

charsize

Display the Elbow Plot after a clustering step.

internal

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>.

ElbowPlot: Elbow Plot.

Description

Usage

Arguments

Value

Details