princomp function of the matlab statistics toolbox Search Results


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Principal Component Analysis (Pca), 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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(a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
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(a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
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(a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
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principal-component regression matlab princomp function  (MathWorks Inc)
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(a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
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principal components analysis (pca) function  (MathWorks Inc)
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(a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
Principal Components Analysis (Pca) 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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(a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
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(a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
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Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version <t>R2015b</t> ( https://www.mathworks.com ).
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Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version <t>R2015b</t> ( https://www.mathworks.com ).
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Image Search Results


(a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab princomp) and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.

Journal: BioMedical Engineering OnLine

Article Title: Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

doi: 10.1186/1475-925X-11-18

Figure Lengend Snippet: (a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab princomp) and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.

Article Snippet: Matlab built-in functions, princomp , was used as the conventional PCA routine.

Techniques:

Evaluation of spike sorting accuracy with varied SNR . Comparisons between PCA (Matlab princomp) and stream-based Hebbian eigenfilter are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

Journal: BioMedical Engineering OnLine

Article Title: Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

doi: 10.1186/1475-925X-11-18

Figure Lengend Snippet: Evaluation of spike sorting accuracy with varied SNR . Comparisons between PCA (Matlab princomp) and stream-based Hebbian eigenfilter are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

Article Snippet: Matlab built-in functions, princomp , was used as the conventional PCA routine.

Techniques:

Evaluation of false positive rate of spike sorting with varied SNR . Comparisons between stream-based Hebbian eigenfilter and PCA (Matlab princomp) are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

Journal: BioMedical Engineering OnLine

Article Title: Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

doi: 10.1186/1475-925X-11-18

Figure Lengend Snippet: Evaluation of false positive rate of spike sorting with varied SNR . Comparisons between stream-based Hebbian eigenfilter and PCA (Matlab princomp) are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

Article Snippet: Matlab built-in functions, princomp , was used as the conventional PCA routine.

Techniques:

Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version R2015b ( https://www.mathworks.com ).

Journal: Scientific Reports

Article Title: The effect of supplementary light on the photosynthetic apparatus of strawberry plants under salinity and alkalinity stress

doi: 10.1038/s41598-022-17377-8

Figure Lengend Snippet: Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version R2015b ( https://www.mathworks.com ).

Article Snippet: Principal component analysis was performed using MATLAB software version R2015b ( https://www.mathworks.com ).

Techniques: Software