templateBasedClassification: Use an expected function shape to classify new instances

In stnava/RKRNS: ANTsR Decoding

Description

Applies a function to a matrix representation of a sentence to get an eigensentence map.

Usage

templateBasedClassification(exemplarmat, labels, newmat, method = "corr",
  mask = NA, eigsents = NA, sparval = c(-0.2, -0.9))

Arguments

exemplarmat	each row is an example of a specific class - no specific ordering assumed
labels	labels for each row of the exemplar
newmat	newmatrix instances to classify
method	one of a selection of options to drive the classification

Value

class label is output

Author(s)

Avants BB

Examples

  mat<-replicate(100, rnorm(21)) 
  labels<-rep(c(1:3),7)
  newmat<-replicate(100, rnorm(21))[1:2,]
  myclass<-templateBasedClassification( mat, labels, newmat, method="corr" )

stnava/RKRNS documentation built on May 30, 2019, 7:21 p.m.