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/450608/7480127
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/450608/7480382
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/449504/7502893
m contents.m
% spatial weights functions
%
% distance : Computes the list of pairwise distances for a given set of locations
% find_neighbors : finds observations containing m nearest neighbors, slow but
www.eeworm.com/read/449504/7502948
m scoreq.m
function q = scoreq(qmin,qmax,y,x,east,north)
% PURPOSE: evaluates cross-validation score for optimal q in gwr
% based on tricube weighting
% ----------------------------------------------
www.eeworm.com/read/448535/7531321
m tostoch.m
function A = tostoch(A)
%
% Determine the matrix nearest to A which is stochastic using
% the composite mapping algorithm
%
% function A = tostoch(A)
% A = input matrix
%
% Output: A = neares
www.eeworm.com/read/441462/7670149
m outl.m
function [W] = outl(X,W)
% [W] = outl(X,W)
% [W] = outl(X)
%
% Function eliminates outliers interactively.
% Feedback is given on the graphical screen -
% mouse clicks toggle the status
www.eeworm.com/read/441245/7673010
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/397111/8067228
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/397106/8067872
txt algorithms.txt
Ada_Boost;Num iter, type, params:;[100,'Stumps',100];L
EM;nGaussians [clss0,clss1]:;[1,1];S
K_L_nn_Rule;[Nr Neighbors, l (nr samples in agreement)]:;[5,3];L
Local_Polynomial;Num of test points:;10;
www.eeworm.com/read/139007/13195409
m poldec.m
function [U, H] = poldec(A)
%POLDEC Polar decomposition.
% [U, H] = POLDEC(A) computes a matrix U of the same dimension
% (m-by-n) as A, and a Hermitian positive semi-definite mat