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principal component analysis (pca) using built in functions utilising singular value decomposition with mean centring (MathWorks Inc)

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MathWorks Inc principal component analysis (pca) using built in functions utilising singular value decomposition with mean centring
Principal Component Analysis (Pca) Using Built In Functions Utilising Singular Value Decomposition With Mean Centring, 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/product/singular+value+decomposition+function/pm38014742-74-25-18
Average 90 stars, based on 1 article reviews

principal component analysis (pca) using built in functions utilising singular value decomposition with mean centring - by Bioz Stars, 2026-11

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Article Title: Data-driven denoising in spinal cord fMRI with principal component analysis
Article Snippet: Slice-wise PCA by singular value decomposition was performed on this matrix with MATLAB ( pca ).

Article Title: A Raman spectroscopic and ab initio investigation of aqueous boron speciation under alkaline hydrothermal conditions: evidence for the structure and thermodynamic stability of the diborate ion.
Article Snippet: A factor analysis of the Raman spectra at 250 °C was performed, using the singular value decomposition ‘svds’ function on Matlab R2021b.

Article Title: Principal components analysis of postural sway in persons with unilateral lower limb amputation: A wearable sensor approach.
Article Snippet: Principal component (PC) dimensionality reduction via singular value decomposition was applied to resolve a set of 14 new uncorrelated variables, each a linear combination of the original sway parameters (MATLAB 2019a).

Article Title: The interictal suppression hypothesis is the dominant differentiator of seizure onset zones in focal epilepsy
Article Snippet: PCA was performed on each patient’s directed connectivity matrix using the singular value decomposition as implemented in MATLAB 2021b.

Article Title: The interictal suppression hypothesis is the dominant differentiator of seizure onset zones in focal epilepsy.
Article Snippet: 8 Successful surgical treatment of drug-resistant epilepsy traditionally relies on the identification of 9 seizure onset zones (SOZs).. Connectome-based analyses of electrographic data from stereo 10 electroencephalography (SEEG) may empower improved detection of SOZs.. Specifically, 11 connectome-based analyses based on the Interictal Suppression Hypothesis (ISH) posit that when 12 the patient is not having a seizure, SOZs are inhibited by non-SOZs through high inward 13 connectivity and low outward connectivity.

Article Title: Guided principal component analysis (GPCA): a simple method for improving detection of a known analyte.
Article Snippet: 0 U np or te d L ic en ce All principal component analysis (PCA) was undertaken in Matlab using built in functions utilising singular value decomposition with mean centring.

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Article Title: Rhodopsin-bestrophin fusion proteins from unicellular algae form gigantic pentameric ion channels.
Article Snippet: 1Faculty of Biology, Technion — Israel Institute of Technology, Haifa, Israel.. 2Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot, Israel.. 3Institute for Biology, Experimental Biophysics, Humboldt-Universität zu Berlin, Berlin, Germany.

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Article Title: Fluorescence-guided and molecularly-guided debridement: identifying devitalized and infected tissue in orthopaedic trauma
Article Snippet: .. This is done in MATLAB by singular value decomposition of the Toeplitz matrix of C a (t) and computing the pseudoinverse of that matrix truncated to 11 singular values with the vector form of C(t). ..