代码搜索：blck
找到约 27 项符合「blck」的源代码
代码结果 27
www.eeworm.com/read/182477/9201826
cpp main.cpp
#include
#include
#include
#include "data.h"
#include "shixian.h"
/****************************************************
文件名：程序计数器主函数;
简要描述:将各模块组装起来的Main函数（驱动程
www.eeworm.com/read/182477/9201850
h shixian.h
/****************************************************
文件名：shixian.c
简要描述：写入行变动信息，添入修改标志
内容：调整各文件位置，补全资料
*****************************************************/
/***********************************
www.eeworm.com/read/182477/9201820
h data.h
#include "stdlib.h"
#include "string.h"
#include "stdio.h"
/****************************************************
文件名：data.c
简要描述：数据结构定义
*****************************************************/
www.eeworm.com/read/400576/11573452
m gendatblockout.m
function [b,blck] = gendatblockout(a,n,scale)
% GENDATBLOCKOUT
%
% [B,BLCK] = GENDATBLOCKOUT(A,N,SCALE)
%
% Add an uniform block-shaped outlier distribution to the given OC
% dataset A and create a
www.eeworm.com/read/361001/10069706
m getnearestmem.m
function neighbors = getnearestmem(X,KK,av);
% function neighbors = getnearestmem(X,KK);
%
% finds nearest neighbors while utilizing the available memory
[D,N] = size(X);
if(nargin
www.eeworm.com/read/360995/10069976
m make_outliers.m
function [b,blck] = make_outliers(a,n,scale)
% MAKE_OUTLIERS
%
% [B,BLCK] = MAKE_OUTLIERS(A,N,SCALE)
%
% Add an uniform block-shaped outlier distribution to the given OC
% dataset A and create a new
www.eeworm.com/read/451547/7461946
m make_outliers.m
function [b,blck] = make_outliers(a,n,scale)
% MAKE_OUTLIERS
%
% [B,BLCK] = MAKE_OUTLIERS(A,N,SCALE)
%
% Add an uniform block-shaped outlier distribution to the given OC
% dataset A and create a new
www.eeworm.com/read/397111/8067235
m make_outliers.m
function [b,blck] = make_outliers(a,n,scale)
% MAKE_OUTLIERS
%
% [B,BLCK] = MAKE_OUTLIERS(A,N,SCALE)
%
% Add an uniform block-shaped outlier distribution to the given OC
% dataset A and create a new
www.eeworm.com/read/397097/8069140
m make_outliers.m
function [b,blck] = make_outliers(a,n,scale)
% MAKE_OUTLIERS
%
% [b,blck] = make_outliers(a,n,scale)
%
% Add an uniform outlier distribution to the given OC dataset a and
% create a new datase
www.eeworm.com/read/493294/6400257
m make_outliers.m
function [b,blck] = make_outliers(a,n,scale)
% MAKE_OUTLIERS
%
% [B,BLCK] = MAKE_OUTLIERS(A,N,SCALE)
%
% Add an uniform block-shaped outlier distribution to the given OC
% dataset A and create a new