代码搜索:Reduction

找到约 701 项符合「Reduction」的源代码

代码结果 701
www.eeworm.com/read/386597/2570089

m hdr.m

function [patterns, targets] = HDR(patterns, targets, New_dim) %Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm %Inputs: % train_patterns - Inpu
www.eeworm.com/read/366702/2877262

f90 a.31.3.f90

! { dg-do compile } PROGRAM A31_3_WRONG MAX = HUGE(0) M=0 !$OMP PARALLEL DO REDUCTION(MAX: M) ! MAX is no longer the ! intri
www.eeworm.com/read/474600/6813401

m hdr.m

function [patterns, targets] = HDR(patterns, targets, New_dim) %Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm %Inputs: % train_patterns - Inpu
www.eeworm.com/read/415311/11077002

m hdr.m

function [features, targets] = HDR(features, targets, New_dim, region) %Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm %Inputs: % train_feature
www.eeworm.com/read/410924/11264754

m hdr.m

function [features, targets] = HDR(features, targets, New_dim, region) %Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm %Inputs: % train_feature
www.eeworm.com/read/389832/8496580

m nra.m

% Program "nra.m" % Implementation of Node Reduction Algorithm % Calculates admittance matrix Yr of % equivalent two-port network. % Input Parameters: % - Number of internal and exterior nod
www.eeworm.com/read/289743/8529895

m welcome.m

function welcome %WELCOME Displays DR Toolbox version information % % welcome % % Displays DR Toolbox version information. % This file is part of the Matlab Toolbox for Dimensionality Reduction v0.
www.eeworm.com/read/289743/8530133

m compute_mapping.m

function [mappedA, mapping] = compute_mapping(A, type, no_dims, varargin) %COMPUTE_MAPPING Performs dimensionality reduction on a dataset A % % mappedA = compute_mapping(A, type) % mappedA = compu
www.eeworm.com/read/430775/8728883

m nra.m

% Program "nra.m" % Implementation of Node Reduction Algorithm % Calculates admittance matrix Yr of % equivalent two-port network. % Input Parameters: % - Number of internal and exterior nod
www.eeworm.com/read/386752/8728903

m nra.m

% Program "nra.m" % Implementation of Node Reduction Algorithm % Calculates admittance matrix Yr of % equivalent two-port network. % Input Parameters: % - Number of internal and exterior nod