dist.vect.matrix: Compute the distance vector matrix

In RSDA: R to Symbolic Data Analysis

Compute the distance vector matrix

Description

Compute the distance vector matrix.

Usage

dist.vect.matrix(vector, Matrix)

Arguments

vector	An n dimensional vector.
Matrix	An n x n matrix.

Value

The distance.

Author(s)

Jorge Arce.

References

Arce J. and Rodriguez O. (2015) 'Principal Curves and Surfaces to Interval Valued Variables'. The 5th Workshop on Symbolic Data Analysis, SDA2015, Orleans, France, November.

Hastie,T. (1984). Principal Curves and Surface. Ph.D Thesis Stanford University.

Hastie,T. & Weingessel,A. (2014). princurve - Fits a Principal Curve in Arbitrary Dimension.R package version 1.1–12 http://cran.r-project.org/web/packages/princurve/index.html.

Hastie,T. & Stuetzle, W. (1989). Principal Curves. Journal of the American Statistical Association, Vol. 84-406, 502–516.

Hastie, T., Tibshirani, R. & Friedman, J. (2008). The Elements of Statistical Learning; Data Mining, Inference and Prediction. Springer, New York.

See Also

sym.interval.pc

RSDA documentation built on Nov. 10, 2023, 5:06 p.m.