knnclass.m~

来自「支持向量机工具箱」· M~ 代码 · 共 24 行

function [class] = knnclass(tst,X,I,K)
% [class] = knnclass(tst,X,I,K)
%
% KNNCLASS is an implementation of K-Nearest Neighbours 
%  classifier. The Euclidean distance is used.
%
% Input:
%  tst [DxNtst] Ntst testing patterns.
%  X [D,Ntrn] Ntrn training points of dimension D.
%  I [1,Ntrn] Ntrn labels of the training points.
%  K [1x1] number of nearest neighbours.
%
% Output:
%  class [1xNtst] estimated class labels for each testing pattern.
%

% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Written Vojtech Franc (diploma thesis)
% Modifications
% 26-feb-2001 V.Franc