Datasets
The ManifoldLearning package provides an implementation of synthetic test datasets:
ManifoldLearning.swiss_roll
— Functionswiss_roll(n::Int, noise::Real=0.03, segments=1)
Generate a swiss roll dataset of n
points with point coordinate noise
variance, and partitioned on number of segments
.
ManifoldLearning.spirals
— Functionspirals(n::Int, noise::Real=0.03, segments=1)
Generate a spirals dataset of n
points with point coordinate noise
variance.
ManifoldLearning.scurve
— Functionscurve(n::Int, noise::Real=0.03, segments=1)
Generate an S curve dataset of n
points with point coordinate noise
variance.