cem.example.arc: Conditional Expectation Manifold Example on Arc

In cems: Conditional Expectation Manifolds

Description

This function runs the arc example in:

Samuel Gerber and Ross Whitaker, Conditional Expectation Curves, Submitted 2011.

Usage

cem.example.arc(n=150, noise=0.2, risk=2, sigmaX= 0.1, stepX=0.001,
stepBW=0.01, init = 0, plotEach=1, noiseInit=0.5)

Arguments

n	Sample size.
noise	Amount of normal distributed noise orthogonal to the arc.
risk	Optimization objective
sigmaX	Intial bandwidth for the curve g
stepBW	Stepsize for bandwidth optimization
stepX	Stepsize for coordinate optimization
init	Type of initialization. 0 = ground truth, 1 = random, 2 = y-values of arc (i.e. close to principal component)
plotEach	Plot curve after plotEach iterations.
noiseInit	add normal distribution noise to initialization.

Author(s)

Samuel Gerber

References

Samuel Gerber, Tolga Tasdizen, Ross Whitaker, Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds, In Proceedings of the 2009 International Conference on Computer Vison (ICCV 2009).

Samuel Gerber and Ross Whitaker, Regularization-Free Principal Curve Estimation Journal of Machine Learning Research 2013.

See Also

cem

cems documentation built on May 29, 2017, 9:20 p.m.