代码搜索：lda

找到约 4,719 项符合「lda」的源代码

代码结果 4,719
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www.eeworm.com/read/289743/8529937

m lda.m

function [mappedX, mapping] = lda(X, labels, no_dims) %LDA Perform the LDA algorithm % % [mappedX, mapping] = lda(X, labels, no_dims) % % The function runs LDA on a set of datapoints X. The variable
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www.eeworm.com/read/428849/8834266

html lda.html

lda.m
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www.eeworm.com/read/428849/8834274

html lda.html

Contents.m
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www.eeworm.com/read/428849/8834895

m lda.m

function model = lda(data,new_dim) % LDA Linear Discriminant Analysis. % % Synopsis: % model = lda(data) % model = lda(data,new_dim) % % Description: % This function is implementation of Linear Di
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www.eeworm.com/read/282683/9074172

m lda.m

function [mappedX, mapping] = lda(X, labels, no_dims) %LDA Perform the LDA algorithm % % [mappedX, mapping] = lda(X, labels, no_dims) % % The function runs LDA on a set of datapoints X. The variable
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www.eeworm.com/read/373627/9446046

html lda.html

R: Linear Discriminant Analysis
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www.eeworm.com/read/362246/10009781

html lda.html

lda.m
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www.eeworm.com/read/362246/10009783

html lda.html

Contents.m
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www.eeworm.com/read/362246/10010424

m lda.m

function model = lda(data,new_dim) % LDA Linear Discriminant Analysis. % % Synopsis: % model = lda(data) % model = lda(data,new_dim) % % Description: % This function is implementation of Linear Di
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www.eeworm.com/read/360705/10081154

m lda.m

function [newSample, discrim_vec] = lda(sample, discrim_vec_n) %LDA Linear discriminant analysis % Usage: % [NEWSAMPLE, DISCRIM_VEC] = lda(SAMPLE, DISCRIM_VEC_N) % SAMPLE: Sample data with class i
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