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Biosphere Atmosphere Change Index
Abstract:
Dimensionality reduction” (DR) is a widely used approach to find low dimensional and
interpretable representations of data that are natively embedded in high-dimensional spaces. DR can be
realized by a plethora of methods with different properties, objectives, and, hence, (dis)advantages. The
resulting low-dimensional data embeddings are often difficult to compare with objective criteria. Here,
we introduce the dimRed and coRanking packages for the R language. These open source software
packages enable users to easily access multiple classical and advanced DR methods using a common
interface. The packages also provide quality indicators for the embeddings and easy visualization of
high dimensional data. The coRanking package provides the functionality for assessing DR methods
in the co-ranking matrix framework. In tandem, these packages allow for uncovering complex
structures high dimensional data. Currently 15 DR methods are available in the package, some of
which were not previously available to R users. Here, we outline the dimRed and coRanking packages
and make the implemented methods understandable to the interested reader.
