lda using matlabs classify function Search Results


90
MathWorks Inc lda routine
Lda Routine, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc fitcdiscr.m
Fitcdiscr.M, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc built-in matlab functions lda
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Built In Matlab Functions Lda, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc standard matlab lda routine
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Standard Matlab Lda Routine, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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MathWorks Inc lda analysis matlab function fitcdiscr
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Lda Analysis Matlab Function Fitcdiscr, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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MathWorks Inc fitcdiscr function
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Fitcdiscr Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc lda toolbox
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Lda Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc matlab function 'classify
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Matlab Function 'classify, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc matlab r2008a software
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Matlab R2008a Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc statistics toolbox software package
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Statistics Toolbox Software Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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MathWorks Inc fitcdiscr
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Fitcdiscr, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/fitcdiscr/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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MathWorks Inc machine learning toolbox
Mean risks and RMS for model 1, three classification rules <t>(LDA,</t> <t>QDA,</t> and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC
Machine Learning Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Mean risks and RMS for model 1, three classification rules (LDA, QDA, and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC

Journal: EURASIP Journal on Bioinformatics and Systems Biology

Article Title: On optimal Bayesian classification and risk estimation under multiple classes

doi: 10.1186/s13637-015-0028-3

Figure Lengend Snippet: Mean risks and RMS for model 1, three classification rules (LDA, QDA, and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC

Article Snippet: We used built-in MATLAB functions to implement LDA and QDA.

Techniques:

Mean risks and RMS for model 2, three classification rules (LDA, QDA, and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC

Journal: EURASIP Journal on Bioinformatics and Systems Biology

Article Title: On optimal Bayesian classification and risk estimation under multiple classes

doi: 10.1186/s13637-015-0028-3

Figure Lengend Snippet: Mean risks and RMS for model 2, three classification rules (LDA, QDA, and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c mean risk under QDA; d RMS risk under QDA; e mean risk under OBRC; f RMS risk under OBRC

Article Snippet: We used built-in MATLAB functions to implement LDA and QDA.

Techniques:

Example decision boundaries for model 3 with multi-class classification. a LDA; b QDA; c OBRC; d L-SVM; e RBF-SVM

Journal: EURASIP Journal on Bioinformatics and Systems Biology

Article Title: On optimal Bayesian classification and risk estimation under multiple classes

doi: 10.1186/s13637-015-0028-3

Figure Lengend Snippet: Example decision boundaries for model 3 with multi-class classification. a LDA; b QDA; c OBRC; d L-SVM; e RBF-SVM

Article Snippet: We used built-in MATLAB functions to implement LDA and QDA.

Techniques:

Example decision boundaries for model 4 with multi-class classification. a LDA; b QDA; c OBRC; d L-SVM; e RBF-SVM

Journal: EURASIP Journal on Bioinformatics and Systems Biology

Article Title: On optimal Bayesian classification and risk estimation under multiple classes

doi: 10.1186/s13637-015-0028-3

Figure Lengend Snippet: Example decision boundaries for model 4 with multi-class classification. a LDA; b QDA; c OBRC; d L-SVM; e RBF-SVM

Article Snippet: We used built-in MATLAB functions to implement LDA and QDA.

Techniques:

True risk statistics for models 3 and 4 and five classification rules (LDA, QDA, OBRC, L-SVM, and RBF-SVM). a Model 3, mean; b model 3, standard deviation; c model 4, mean; d model 4, standard deviation

Journal: EURASIP Journal on Bioinformatics and Systems Biology

Article Title: On optimal Bayesian classification and risk estimation under multiple classes

doi: 10.1186/s13637-015-0028-3

Figure Lengend Snippet: True risk statistics for models 3 and 4 and five classification rules (LDA, QDA, OBRC, L-SVM, and RBF-SVM). a Model 3, mean; b model 3, standard deviation; c model 4, mean; d model 4, standard deviation

Article Snippet: We used built-in MATLAB functions to implement LDA and QDA.

Techniques: Standard Deviation

True risk statistics for models 7 and 8 and five classification rules (LDA, QDA, OBRC, L-SVM, and RBF-SVM). a Model 7, mean; b model 7, standard deviation; c model 8, mean; d model 8, standard deviation

Journal: EURASIP Journal on Bioinformatics and Systems Biology

Article Title: On optimal Bayesian classification and risk estimation under multiple classes

doi: 10.1186/s13637-015-0028-3

Figure Lengend Snippet: True risk statistics for models 7 and 8 and five classification rules (LDA, QDA, OBRC, L-SVM, and RBF-SVM). a Model 7, mean; b model 7, standard deviation; c model 8, mean; d model 8, standard deviation

Article Snippet: We used built-in MATLAB functions to implement LDA and QDA.

Techniques: Standard Deviation

Mean risks, RMS, and Q–Q plots of Z for the breast cancer dataset, D =2, three classification rules (LDA, QDA, and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c Q–Q plots of Z under LDA; d mean risk under QDA; e RMS risk under QDA; f Q–Q plots of Z under QDA; g mean risk under OBRC; h RMS risk under OBRC; i Q–Q plots of Z under OBRC

Journal: EURASIP Journal on Bioinformatics and Systems Biology

Article Title: On optimal Bayesian classification and risk estimation under multiple classes

doi: 10.1186/s13637-015-0028-3

Figure Lengend Snippet: Mean risks, RMS, and Q–Q plots of Z for the breast cancer dataset, D =2, three classification rules (LDA, QDA, and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c Q–Q plots of Z under LDA; d mean risk under QDA; e RMS risk under QDA; f Q–Q plots of Z under QDA; g mean risk under OBRC; h RMS risk under OBRC; i Q–Q plots of Z under OBRC

Article Snippet: We used built-in MATLAB functions to implement LDA and QDA.

Techniques:

Mean risks, RMS and Q–Q plots of Z for the breast cancer dataset, D =5, three classification rules (LDA, QDA, and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c Q-Q plots of Z under LDA; d mean risk under QDA; e RMS risk under QDA; f Q–Q plots of Z under QDA; g mean risk under OBRC; h RMS risk under OBRC; i Q–Q plots of Z under OBRC

Journal: EURASIP Journal on Bioinformatics and Systems Biology

Article Title: On optimal Bayesian classification and risk estimation under multiple classes

doi: 10.1186/s13637-015-0028-3

Figure Lengend Snippet: Mean risks, RMS and Q–Q plots of Z for the breast cancer dataset, D =5, three classification rules (LDA, QDA, and OBRC), and all risk estimators. a Mean risk under LDA; b RMS risk under LDA; c Q-Q plots of Z under LDA; d mean risk under QDA; e RMS risk under QDA; f Q–Q plots of Z under QDA; g mean risk under OBRC; h RMS risk under OBRC; i Q–Q plots of Z under OBRC

Article Snippet: We used built-in MATLAB functions to implement LDA and QDA.

Techniques:

True risk mean for the TCGA dataset and five classification rules (LDA, QDA, OBRC, L-SVM, and RBF-SVM). a FS-1, D =2; b FS-2, D =2; c FS-1, D =5; d FS-2, D =5; e FS-1, D =20; f FS-2, D =20

Journal: EURASIP Journal on Bioinformatics and Systems Biology

Article Title: On optimal Bayesian classification and risk estimation under multiple classes

doi: 10.1186/s13637-015-0028-3

Figure Lengend Snippet: True risk mean for the TCGA dataset and five classification rules (LDA, QDA, OBRC, L-SVM, and RBF-SVM). a FS-1, D =2; b FS-2, D =2; c FS-1, D =5; d FS-2, D =5; e FS-1, D =20; f FS-2, D =20

Article Snippet: We used built-in MATLAB functions to implement LDA and QDA.

Techniques: