代码搜索：Nearest
找到约 1,596 项符合「Nearest」的源代码
代码结果 1,596
www.eeworm.com/read/493294/6399966
m nmc.m
%NMC Nearest Mean Classifier
%
% W = NMC(A)
%
% INPUT
% A Dataset
%
% OUTPUT
% W Nearest Mean Classifier
%
% DESCRIPTION
% Computation of the nearest mean classifier between the classe
www.eeworm.com/read/493294/6400243
m nmsc.m
%NMSC Nearest Mean Scaled Classifier
%
% W = NMSC(A)
%
% INPUT
% A Trainign dataset
%
% OUTPUT
% W Nearest Mean Scaled Classifier mapping
%
% DESCRIPTION
% Computation of the linear discrim
www.eeworm.com/read/493294/6400250
m nndd.m
%NNDD Nearest neighbour data description method.
%
% W = NNDD(A,FRACREJ)
%
% Calculates the Nearest neighbour data description. Training only
% consists of the computation of the resemblance o
www.eeworm.com/read/492400/6422263
m nndd.m
%NNDD Nearest neighbour data description method.
%
% W = NNDD(A,FRACREJ)
%
% Calculates the Nearest neighbour data description. Training only
% consists of the computation of the resemblance o
www.eeworm.com/read/490082/6458180
m factorl.m
function [x]=factorl(i)
%factorl(i) gives the factorial of the nearest integer to number 'i'
%'i' should be an integer so we will round it to the nearest one
x=round(i);
if x>2
for j=x-1:-1:2
www.eeworm.com/read/400577/11572974
m nmsc.m
%NMSC Nearest Mean Scaled Classifier
%
% W = NMSC(A)
% W = A*NMSC
%
% INPUT
% A Trainign dataset
%
% OUTPUT
% W Nearest Mean Scaled Classifier mapping
%
% DESCRIPTION
% Computation of the
www.eeworm.com/read/400576/11573517
m nndd.m
%NNDD Nearest neighbour data description method.
%
% W = NNDD(A,FRACREJ)
%
% Calculates the Nearest neighbour data description. Training only
% consists of the computation of the resemblance o
www.eeworm.com/read/346712/11729310
java linearnnsearch.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers
www.eeworm.com/read/155109/11898473
m quant.m
function y=quant(no,q)
% Quantization
%
% function y=quant(no,q)
%
% no number to be quantized
% q quantum size
% y no rounded to nearest quantum
% Jantzen 940330
y = q*round(no/
www.eeworm.com/read/255755/12057337
m nmc.m
%NMC Nearest Mean Classifier
%
% W = NMC(A)
%
% INPUT
% A Dataset
%
% OUTPUT
% W Nearest Mean Classifier
%
% DESCRIPTION
% Computation of the nearest mean classifier between the classe