knn

Purpose

Creates a K-nearest-neighbour classifier.

Synopsis 


net = knn(nin, nout, k, tr_in, tr_targets)

Description

net = knn(nin, nout, k, tr_in, tr_targets) creates a KNN model net with input dimension nin, output dimension nout and k neighbours. The training data is also stored in the data structure and the targets are assumed to be using a 1-of-N coding.

The fields in net are 


  type = 'knn'
  nin = number of inputs
  nout = number of outputs
  tr_in = training input data
  tr_targets = training target data

See Also

kmeans, knnfwd
Pages: Index

Copyright (c) Ian T Nabney (1996-9)