aroma.cn (version 1.3.3)

normalizePrincipalCurve.matrix: Normalizes data in K dimensions using principal curves

Description

Normalizes data in K dimensions using principal curves such that afterward the data cluster (approximately linearly) along the diagonal (in K dimensions).

Usage

## S3 method for class 'matrix':
normalizePrincipalCurve(x, ..., center=TRUE, returnFit=FALSE)

Arguments

x

An NxK matrix where the columns represent the (K >= 2) dimensions.

...

Additional arguments passed to fitPrincipalCurve used for fitting the model.

center

If TRUE, normalized data is centered such that the median signal in each dimension is at zero.

returnFit

If TRUE, the fitted principal curve parameters are returned as an attribute.

Value

• Returns an NxK matrix.

encoding

latin1

References

[1] Hastie, T. and Stuetzle, W, Principal Curves, JASA, 1989.

See Also

fitPrincipalCurve and backtransformPrincipalCurve.