代码搜索：C-Mean
找到约 23 项符合「C-Mean」的源代码
代码结果 23
www.eeworm.com/read/389692/8507811
m distfcm.m
function out = distfcm(center, data)
%DISTFCM Distance measure in fuzzy c-mean clustering.
% OUT = DISTFCM(CENTER, DATA) calculates the Euclidean distance
% between each row in CENTER and each row
www.eeworm.com/read/359005/10171972
m distfcm.m
function out = distfcm(center, data)
%DISTFCM Distance measure in fuzzy c-mean clustering.
% OUT = DISTFCM(CENTER, DATA) calculates the Euclidean distance
% between each row in CENTER and each row
www.eeworm.com/read/133885/5898068
tal tclass.tal
globalcalc {
global c-mean mean {
}
}
metafeatures {
metafeature c-dec dec {
channel C
}
metafeature c-inc inc {
channel C
}
metafeature c-plat plat {
channel
www.eeworm.com/read/343735/11931134
m distfcm.m
function out = distfcm(center, data)
%DISTFCM Distance measure in fuzzy c-mean clustering.
% OUT = DISTFCM(CENTER, DATA) calculates the Euclidean distance
% between each row in CENTER and each row
www.eeworm.com/read/123143/14645643
m distfcm.m
function out = distfcm(center, data)
%DISTFCM Distance measure in fuzzy c-mean clustering.
% OUT = DISTFCM(CENTER, DATA) calculates the Euclidean distance
% between each row in CENTER and each row
www.eeworm.com/read/334076/12642794
m distfcm.m
function out = distfcm(center, data)
%DISTFCM Distance measure in fuzzy c-mean clustering.
% OUT = DISTFCM(CENTER, DATA) calculates the Euclidean distance
% between each row in CENTER and each row
www.eeworm.com/read/417091/11004019
m kcluster.m
function [U_new, center, obj_fcn] = steprfcm(data, U, cluster_n, expo)
%STEPFCM One step in fuzzy c-mean clustering.
% [U_NEW, CENTER, ERR] = STEPFCM(DATA, U, CLUSTER_N, EXPO)
% performs one
www.eeworm.com/read/215101/7110802
m steprfcm.m
function [U_new, center, obj_fcn] = steprfcm(data, U, cluster_n, expo)
%STEPFCM One step in fuzzy c-mean clustering.
% [U_NEW, CENTER, ERR] = STEPFCM(DATA, U, CLUSTER_N, EXPO)
% performs one it
www.eeworm.com/read/409231/11339895
m steprfcm.m
function [U_new, center, obj_fcn] = steprfcm(data, U, cluster_n, expo)
%STEPFCM One step in fuzzy c-mean clustering.
% [U_NEW, CENTER, ERR] = STEPFCM(DATA, U, CLUSTER_N, EXPO)
% performs one it
www.eeworm.com/read/409231/11339897
m steprfcm.m
function [U_new, center, obj_fcn] = steprfcm(data, U, cluster_n, expo)
%STEPFCM One step in fuzzy c-mean clustering.
% [U_NEW, CENTER, ERR] = STEPFCM(DATA, U, CLUSTER_N, EXPO)
% performs one it