setdiffMatrix

setdiffMatrix shortens Matrix2Curt by those rows that are in both matrices.

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

Quirin Stier

Alfred Ultsch

setdiffMatrix function

<dl><dt>Matrix2Curt</dt>
<dd>[n,k] matrix, which will be shortened by x rows</dd><dt>Matrix2compare</dt>
<dd>[m,k] matrix whose rows will be compared to those of
Matrix2Curt x rows in Matrix2compare equal rows of Matrix2Curt (order of rows is
irrelevant). Has the same number of columns as Matrix2Curt.</dd></dl>

Arguments

Michael Thrun with the help of Catharina Lippmann

Author

setdiffMatrix shortens Matrix2Curt by those rows that are in both matrices. — setdiffMatrix

<dl>

<dt>Matrix2Curt</dt>
<dd>[n,k] matrix, which will be shortened by x rows</dd>

<dt>Matrix2compare</dt>
<dd>[m,k] matrix whose rows will be compared to those of
Matrix2Curt x rows in Matrix2compare equal rows of Matrix2Curt (order of rows is
irrelevant). Has the same number of columns as Matrix2Curt.</dd>

</dl>

setdiffMatrix: setdiffMatrix shortens Matrix2Curt by those rows that are in both matrices.

Description

Value

Arguments

Author