代码搜索：NETSIM
找到约 54 项符合「NETSIM」的源代码
代码结果 54
www.eeworm.com/read/427693/8925453
m apcluster.m
%APCLUSTER Affinity Propagation Clustering (Frey/Dueck, Science 2007)
% [idx,netsim,dpsim,expref]=APCLUSTER(s,p) clusters data, using a set
% of real-valued pairwise data point similarities as inpu
www.eeworm.com/read/434216/7880649
m apcluster.m
%APCLUSTER Affinity Propagation Clustering (Frey/Dueck, Science 2007)
% [idx,netsim,dpsim,expref]=APCLUSTER(s,p) clusters data, using a set
% of real-valued pairwise data point similarities as inpu
www.eeworm.com/read/313556/13584934
asv apcluster.asv
%
% [idx,netsim,dpsim,expref]=apcluster(s,p)
%
% APCLUSTER uses affinity propagation (Frey and Dueck, Science,
% 2007) to identify data clusters, using a set of real-valued
% pair-wise data point simi
www.eeworm.com/read/313556/13584937
m apcluster.m
%
% [idx,netsim,dpsim,expref]=apcluster(s,p)
%
% APCLUSTER uses affinity propagation (Frey and Dueck, Science,
% 2007) to identify data clusters, using a set of real-valued
% pair-wise data point simi
www.eeworm.com/read/229177/14350322
m apcluster.m
%
% [idx,netsim,dpsim,expref]=apcluster(s,p)
%
% APCLUSTER uses affinity propagation (Frey and Dueck, Science,
% 2007) to identify data clusters, using a set of real-valued
% pair-wise data point
www.eeworm.com/read/427696/8925396
m apcluster_imp.m
function [labels,NC,Sil,netsim,dpsim,expref] = ...
apcluster_imp(s, pcut, pstep, pmin, data, dtype, varargin)
% Handle arguments to function
if nargin
www.eeworm.com/read/427693/8925450
m demo.m
%Affinity Propagation (APCLUSTER) sample/demo code
N=100; x=rand(N,2); M=N*N-N; s=zeros(M,3); j=1;
for i=1:N
for k=[1:i-1,i+1:N]
s(j,1)=i; s(j,2)=k; s(j,3)=-sum((x(i,:)-x(k,:)).^2);
j
www.eeworm.com/read/470544/6913354
m kcenters.m
function [idx,netsim,dpsim,expref,varargout] = kcenters(S, K, varargin),
%KCENTERS k-centers clustering
% [idx,netsim,dpsim,expref] = kcenters(S,K,...) performs K-centers clustering
% on data r
www.eeworm.com/read/345962/11777568
m apclustermex.m
%APCLUSTERMEX Affinity Propagation Clustering (Frey/Dueck, Science 2007)
% [idx,netsim,dpsim,expref]=APCLUSTERMEX(s,p) clusters data, using a set
% of real-valued pairwise data point similarities a
www.eeworm.com/read/328541/13021458