ListAsEsomNeurons

<p>Matrix with weights in the 2nd dimension(not list() like in R)</p>

wts_list[1:(Lines*Columns),1:Variables]

Lines

Columns

<p>Converts wts data in list form into a 3 dimensional array</p>

Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018] <DOI: 10.1007/978-3-658-20540-9>. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is derived from the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9> and the main algorithm called simplified self-organizing map for dimensionality reduction methods is published in <DOI: 10.1016/j.mex.2020.101093>.

Michael Thrun

GeneralizedUmatrix

Credible Visualization for Two-Dimensional Projections of Data

Felix Pape

Tim Schreier

Luis Winckelman

Alfred Ultsch

ListAsEsomNeurons function

Converts List to WTS — ListAsEsomNeurons

Converts List to WTS

ListAsEsomNeurons: Converts List to WTS

Description

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Value

Details

References