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/101082/6243380
1a l53.1a
#print
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www.eeworm.com/read/493294/6399896
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/493294/6400002
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/400577/11572598
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/400577/11572691
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/256796/11939642
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/255755/12057234
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/255755/12057392
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/150905/12248292
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/150905/12248504
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: