Shortcut: SKETCHMAP

Module dimred
Description Usage
Construct a sketch map projection of the input data used in 1 tutorialsused in 1 eggs
output value type
the sketch-map projection of the input points matrix

Output components

This action can calculate the values in the following table when the associated keyword is included in the input for the action. These values can be referenced elsewhere in the input by using this Action's label followed by a dot and the name of the value required from the list below.

Name Type Keyword Description
osample matrix PROJECT_ALL the out-of-sample projections

Further details and examples

Text from manual goes here

Syntax

The following table describes the keywords and options that can be used with this action

Keyword Type Default Description
NLOW_DIM compulsory none number of low-dimensional coordinates required
ARG compulsory none the matrix of high dimensional coordinates that you want to project in the low dimensional space
HIGH_DIM_FUNCTION compulsory none the parameters of the switching function in the high dimensional space
LOW_DIM_FUNCTION compulsory none the parameters of the switching function in the low dimensional space
CGTOL compulsory 1E-6 The tolerance for the conjugate gradient minimization that finds the projection of the landmarks
MAXITER compulsory 1000 maximum number of optimization cycles for optimisation algorithms
NCYCLES compulsory 0 The number of cycles of pointwise global optimisation that are required
BUFFER compulsory 1.1 grid extent for search is (max projection - minimum projection) multiplied by this value
CGRID_SIZE compulsory 10 number of points to use in each grid direction
FGRID_SIZE compulsory 0 interpolate the grid onto this number of points -- only works in 2D
OS_CGTOL compulsory 1E-6 The tolerance for the conjugate gradient minimization that finds the out of sample projections
SMACTOL compulsory 1E-4 the tolerance for the smacof algorithm
SMACREG compulsory 0.001 this is used to ensure that we don't divide by zero when updating weights for SMACOF algorithm
WEIGHTS optional not used a vector containing the weights of the points
PROJECT_ALL optional false if the input are landmark coordinates then project the out of sample configurations
USE_SMACOF optional false find the projection in the low dimensional space using the SMACOF algorithm