43 citations · 73 across the 13 of their papers we have counts for
4 papers · 1 filter
cardinalR: Generating Interesting High-Dimensional Data Structures
Jayani P. Gamage, Dianne Cook, Paul Harrison +2
Simulated high-dimensional data is useful for testing, validating, and improving algorithms used in dimension reduction, supervised and unsupervised learning. High-dimensional data…
quollr: An R Package for Visualizing 2-D Models from Nonlinear Dimension Reductions in High-Dimensional Space
Jayani P. Gamage, Dianne Cook, Paul Harrison +2
Nonlinear dimension reduction methods provide a low-dimensional representation of high-dimensional data by applying a Nonlinear transformation. However, the complexity of the trans…
Relationship Between Leisure Activities, Stress Management Methods, Study Methods, and Methods of Learning New Things Among First-Year Statistics Students
Thiyanga S. Talagala
The interplay between leisure activities, stress management methods, studying methods, and methods of learning new things is crucial and affects performance in all aspects of life.…
Choosing Better NLDR Layouts by Evaluating the Model in the High-dimensional Data Space
Jayani P. Gamage, Dianne Cook, Paul Harrison +2
Nonlinear dimension reduction (NLDR) techniques such as tSNE, and UMAP provide a low-dimensional representation of high-dimensional data () by applying a nonlinear tran…