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/390457/8464724
m parse_inputs.m
function [A,Ar,Ac,Nrho,Ntheta,Method,Center,Shape,Class] = parse_inputs(varargin)
% Outputs: A the input image
% Nrho the desired number of rows of transformed image
%
www.eeworm.com/read/388076/8637286
m parse_inputs.m
function [A,Ar,Ac,Nrho,Ntheta,Method,Center,Shape,Class] = parse_inputs(varargin)
> Outputs: A the input image
> Nrho the desired number of rows of transformed image
> Ntheta the desired number
www.eeworm.com/read/386050/8767349
m modeseek.m
%MODESEEK Clustering by mode-seeking
%
% [LAB,J] = MODESEEK(D,K)
%
% INPUT
% D Distance matrix or distance dataset (square)
% K Number of neighbours to search for local mode (defaul
www.eeworm.com/read/386050/8767583
m gendatk.m
%GENDATK K-Nearest neighbor data generation
%
% B = GENDATK(A,N,K,S)
%
% INPUT
% A Dataset
% N Number of points (optional; default: 50)
% K Number of nearest neighbors (optional; default:
www.eeworm.com/read/357019/10217080
m parse_inputs.m
function [A,Ar,Ac,Nrho,Ntheta,Method,Center,Shape,Class] = parse_inputs(varargin)
% Outputs: A the input image
% Nrho the desired number of rows of transformed image
%
www.eeworm.com/read/161606/10392682
m parse_inputs.m
function [A,Ar,Ac,Nrho,Ntheta,Method,Center,Shape,Class] = parse_inputs(varargin)
% Outputs: A the input image
% Nrho the desired number of rows of transformed image
% Ntheta the desired number of
www.eeworm.com/read/160583/10516831
py image_interp.py
#!/usr/bin/env python
"""
The same (small) array, interpolated with three different
interpolation methods.
The center of the pixel at A[i,j] is plotted at i+0.5, i+0.5. If you
are using interpolatio
www.eeworm.com/read/470200/6914662
c tic.c
//********************************************************************
//
// Author : ADI - Apps www.analog.com/MicroConverter
//
// Date : 17 October 2003
//
// File
www.eeworm.com/read/299984/7139955
m modeseek.m
%MODESEEK Clustering by mode-seeking
%
% [LAB,J] = MODESEEK(D,K)
%
% INPUT
% D Distance matrix or distance dataset (square)
% K Number of neighbours to search for local mode (defaul