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DRquality (version 0.2.1)

Quality Measurements for Dimensionality Reduction

Description

Several quality measurements for investigating the performance of dimensionality reduction methods are provided here. In addition a new quality measurement called Gabriel classification error is made accessible, which was published in Thrun, M. C., Märte, J., & Stier, Q: "Analyzing Quality Measurements for Dimensionality Reduction" (2023), Machine Learning and Knowledge Extraction (MAKE), .

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Version

Install

install.packages('DRquality')

Monthly Downloads

242

Version

0.2.1

License

GPL-3

Maintainer

Michael Thrun

Last Published

October 12th, 2023

Functions in DRquality (0.2.1)

MeasureTandD

Trustworthiness and Discontinuity.
PrecisionAndRecall

Precision and Recall.
ClassificationError

Classification Error (rate)
TopologicalCorrelation

Topological Correlation
KendallsTau

Statistical correlation by Kendall
Cmeasure

C-Measure subtypes
GabrielClassificationError

Gabriel Classification Error (GCE)
SpearmansRho

Calculates the error of a projection with spearman's rank correlation coefficient
SpearmanError

Calculates the error of a projection with spearman's rank correlation coefficient.
RAAR

Rescaled average agreement rate
plotMeasureTandD

Computes rank-based smoothed precision and recall
plotMeasureRAAR

Computes Rescaled Average Agreement Rate
ZrehenMeasure4All

ZrehenMeasure4All