文件名称:mitmatlab2
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数据挖掘经典算法matlab实现,补充代码!-Classical data mining algorithm matlab realize, supplementary code!
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Other
.....\Bayesian_Belief_Networks.m
.....\Bayesian_parameter_est.m
.....\Bayes_belief_net.mat
.....\Bottom_Up_Parsing.m
.....\Boyer_Moore_String_Matching.m
.....\contents.m
.....\demo_fun.m
.....\Edit_Distance.m
.....\gradient_descent.m
.....\Grammatical_Inference.m
.....\high_histogram.m
.....\HMM_Backward.m
.....\HMM_Boltzmann.m
.....\HMM_Decoding.m
.....\HMM_Evaluation.m
.....\HMM_Forward.m
.....\HMM_Forward_Backward.m
.....\HMM_generate.m
.....\index.htm
.....\mean_bootstrap.m
.....\mean_jackknife.m
.....\MultipleDiscriminantAnalysis.m
.....\Naive_String_Matching.m
.....\Newton_descent.m
.....\ROCC.m
.....\sample_hmm.mat
.....\Stochastic_Regression.m
.....\sufficient_statistics.m
.....\_D=A
.....\_M=A
.....\_N=D
.....\_S=A
read.txt
User guide.pdf
.....\Bayesian_Belief_Networks.m
.....\Bayesian_parameter_est.m
.....\Bayes_belief_net.mat
.....\Bottom_Up_Parsing.m
.....\Boyer_Moore_String_Matching.m
.....\contents.m
.....\demo_fun.m
.....\Edit_Distance.m
.....\gradient_descent.m
.....\Grammatical_Inference.m
.....\high_histogram.m
.....\HMM_Backward.m
.....\HMM_Boltzmann.m
.....\HMM_Decoding.m
.....\HMM_Evaluation.m
.....\HMM_Forward.m
.....\HMM_Forward_Backward.m
.....\HMM_generate.m
.....\index.htm
.....\mean_bootstrap.m
.....\mean_jackknife.m
.....\MultipleDiscriminantAnalysis.m
.....\Naive_String_Matching.m
.....\Newton_descent.m
.....\ROCC.m
.....\sample_hmm.mat
.....\Stochastic_Regression.m
.....\sufficient_statistics.m
.....\_D=A
.....\_M=A
.....\_N=D
.....\_S=A
read.txt
User guide.pdf