文件名称:liucing-gongjuxiang
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-12-21
- 文件大小：
- 274kb
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- 0次
- 提 供 者：
- 李*
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程序流形学习算法工具包 matlab工具箱matlab代做QQ1747812398 matlab包括拥有数百个内部函数的主包和三十几种工具包。工具包又可以分为功能性工具包和学科工具包。功能工具包用来扩充MATLAB的符号计算，可视化建模仿真，文字处理及实时控制等功能。学科工具包是专业性比较强的工具包，控制工具包，信号处理工具包，通信工具包等都属于此类。-Program Toolkit manifold learning algorithm matlab matlab doing some QQ1747812398 matlab toolbox includes functions with hundreds of internal main package and several 30 kits. Kits can be divided into functional disciplines toolkit and toolkit. Function tool kit used to expand the MATLAB symbolic computation, visualization, modeling and simulation, word processing, and real-time control functions. Discipline tool kit is relatively strong professional toolkit, Control Toolkit, signal processing toolkit, communications toolkit belong to this category.
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matlab代做调试修改GUI界面 simulink程序流形学习算法工具包
........................................................\matlab代做 修改 程序流形学习算法工具包
........................................................\......................................\07884951ManifoldLearn
........................................................\......................................\.....................\ManifoldLearn
........................................................\......................................\.....................\.............\2moons.mat
........................................................\......................................\.....................\.............\acc.m
........................................................\......................................\.....................\.............\adjacency.m
........................................................\......................................\.....................\.............\breakeven.m
........................................................\......................................\.....................\.............\calckernel.m
........................................................\......................................\.....................\.............\cosine.m
........................................................\......................................\.....................\.............\data
........................................................\......................................\.....................\.............\demo.fig
........................................................\......................................\.....................\.............\demo.m
........................................................\......................................\.....................\.............\euclidean.m
........................................................\......................................\.....................\.............\experiment_moon.m
........................................................\......................................\.....................\.............\f1.m
........................................................\......................................\.....................\.............\generate_toydata.m
........................................................\......................................\.....................\.............\gui_mainfcn.m
........................................................\......................................\.....................\.............\laplacian.m
........................................................\......................................\.....................\.............\laprlsc.m
........................................................\......................................\.....................\.............\lapsvm.m
........................................................\......................................\.....................\.............\makefigure_moon.m
........................................................\......................................\.....................\.............\makefigure_moon.m~
........................................................\......................................\.....................\.............\ManifoldLearn.m
........................................................\......................................\.....................\.............\mexGramSVMTrain.c
........................................................\......................................\.....................\.............\mexGramSVMTrain.cpp
........................................................\......................................\.....................\.............\mexGramSVMTrain.dll
........................................................\......................................\.....................\.............\mexGramSVMTrain.mexglx
........................................................\......................................\.....................\.............\ml_options.m
........................................................\..