Description: 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
........................................................\..
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