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non-metric mds analysis  (MathWorks Inc)


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    MathWorks Inc non-metric mds analysis
    Non Metric Mds Analysis, 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/non-metric+mds/pmc09006044__fcac071_supplementary_data-70-23-28?v=MathWorks+Inc
    Average 90 stars, based on 1 article reviews
    non-metric mds analysis - by Bioz Stars, 2026-07
    90/100 stars

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    ( A ) The mean (top row) and standard deviation (bottom row) of the listeners' responses show the similarity between every pair of instruments for three notes A3, D4 and G#4. Red (values close to 1) indicates high dissimilarity and blue (values close to 0) indicates similarity. ( B ) Timbre similarity is averaged across subjects, musical notes and upper and lower half-matrices, and used for validation of the physiological and computational model. ( C ) <t>Multidimensional</t> <t>scaling</t> <t>(MDS)</t> applied to the human similarity matrix projected over 2 dimensions (shown to correlate with attack time and spectral centroid).
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    Image Search Results


    (A) To measure intuitive judgments of action similarity, participants completed an action arrangement task, during which they watched the 60 action videos and then arranged key frames from the videos according to their similarity: frames were close together if participants thought the videos were similar, or far apart if they thought they were different. (B) Plot of the first two dimensions of a Multi-Dimensional Scaling projection, to visualize broad trends in the structure in these intuitive judgments. Actions are plotted close together in this projection if participants consistently judged them to be similar.

    Journal: bioRxiv

    Article Title: Behavioral and Neural Representations en route to Intuitive Action Understanding

    doi: 10.1101/2021.04.08.438996

    Figure Lengend Snippet: (A) To measure intuitive judgments of action similarity, participants completed an action arrangement task, during which they watched the 60 action videos and then arranged key frames from the videos according to their similarity: frames were close together if participants thought the videos were similar, or far apart if they thought they were different. (B) Plot of the first two dimensions of a Multi-Dimensional Scaling projection, to visualize broad trends in the structure in these intuitive judgments. Actions are plotted close together in this projection if participants consistently judged them to be similar.

    Article Snippet: The distance matrices measured in the multi-arrangement task were averaged across individual participants and non-metric MDS was performed over this group-averaged distance matrix in MATLAB.

    Techniques:

    ( A ) The mean (top row) and standard deviation (bottom row) of the listeners' responses show the similarity between every pair of instruments for three notes A3, D4 and G#4. Red (values close to 1) indicates high dissimilarity and blue (values close to 0) indicates similarity. ( B ) Timbre similarity is averaged across subjects, musical notes and upper and lower half-matrices, and used for validation of the physiological and computational model. ( C ) Multidimensional scaling (MDS) applied to the human similarity matrix projected over 2 dimensions (shown to correlate with attack time and spectral centroid).

    Journal: PLoS Computational Biology

    Article Title: Music in Our Ears: The Biological Bases of Musical Timbre Perception

    doi: 10.1371/journal.pcbi.1002759

    Figure Lengend Snippet: ( A ) The mean (top row) and standard deviation (bottom row) of the listeners' responses show the similarity between every pair of instruments for three notes A3, D4 and G#4. Red (values close to 1) indicates high dissimilarity and blue (values close to 0) indicates similarity. ( B ) Timbre similarity is averaged across subjects, musical notes and upper and lower half-matrices, and used for validation of the physiological and computational model. ( C ) Multidimensional scaling (MDS) applied to the human similarity matrix projected over 2 dimensions (shown to correlate with attack time and spectral centroid).

    Article Snippet: A standard non-metric MDS was performed (Matlab, the MathWorks).

    Techniques: Standard Deviation, Biomarker Discovery