Projections are common dimensionality reduction methods, which represent highdimensional data in a twodimensional 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]. 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 twodimensional scatter plots. The package is based on the book of Thrun, M.C.: "Projection Based Clustering through SelfOrganization and Swarm Intelligence" (2018)
Package details 


Author  Michael Thrun [aut, cre, cph], Alfred Ultsch [ths] 
Date of publication  20180131 18:13:07 UTC 
Maintainer  Michael Thrun <[email protected]> 
License  GPL3 
Version  1.0.0 
URL  https://www.unimarburg.de/fb12/datenbionik/softwareen 
Package repository  View on CRAN 
Installation 
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