plmp: Part-Linear Multidimensional Projection

In mp: Multidimensional Projection Techniques

Description

Creates a k-dimensional representation of the data. As input, a subsample and its k-dimensional mapping (control points) are required. The method approximates the subsample mapping to a linear mapping and then applies the same mapping to all instances.

Usage

plmp(X, sample.indices = NULL, Ys = NULL, k = 2)

Arguments

X	A dataframe or matrix representing the data.
sample.indices	The indices of subsamples used as control points.
Ys	The control points.
k	The target dimensionality.

Value

The low-dimensional representation of the data.

References

Paulovich, F.V.; Silva, C.T.; Nonato, L.G., "Two-Phase Mapping for Projecting Massive Data Sets," Visualization and Computer Graphics, IEEE Transactions on , vol.16, no.6, pp.1281,1290, Nov.-Dec. 2010.

Examples

# Iris example
emb <- plmp(iris[,1:4])
plot(emb, col=iris$Species)

mp documentation built on May 1, 2019, 10:19 p.m.