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non-classical metric multidimensional scaling (mds)  (MathWorks Inc)


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    MathWorks Inc non-classical metric multidimensional scaling (mds)
    Non Classical Metric Multidimensional Scaling (Mds), 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/non-classical metric multidimensional scaling (mds)/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    non-classical metric multidimensional scaling (mds) - by Bioz Stars, 2026-03
    90/100 stars

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    Spatiotemporal dynamics and temporal perception ( a ) Similarity index of the spatiotemporal dynamics across trials (mean ± s.e.m.). Red line at the bottom represents the temporal cluster where similarity was significant. ( b ) Pairwise multivariate distance matrix between all time points. There is a strong similarity for time points closer in time, suggesting a sequence of activation states. ( c ) Multidimensional distance between time points for the period between 0.65 s and 2.2 s visualised in two dimensions using multidimensional scaling (MDS). The colour of each point represents its physical interval. The trajectory represents the path linking the sequence of activation states.

    Journal: Scientific Reports

    Article Title: Dynamic representation of time in brain states

    doi: 10.1038/srep46053

    Figure Lengend Snippet: Spatiotemporal dynamics and temporal perception ( a ) Similarity index of the spatiotemporal dynamics across trials (mean ± s.e.m.). Red line at the bottom represents the temporal cluster where similarity was significant. ( b ) Pairwise multivariate distance matrix between all time points. There is a strong similarity for time points closer in time, suggesting a sequence of activation states. ( c ) Multidimensional distance between time points for the period between 0.65 s and 2.2 s visualised in two dimensions using multidimensional scaling (MDS). The colour of each point represents its physical interval. The trajectory represents the path linking the sequence of activation states.

    Article Snippet: Trajectory in state space was visualised using metric multidimensional scaling (MDS) as implemented in MATLAB.

    Techniques: Sequencing, Activation Assay

    Distance in state space is correlated to distance in time ( a ) Multidimensional distance between the activity in the different possible intervals visualised in two dimensions using multidimensional scaling (MDS). The colour of each point represents its physical interval. ( b ) Mean distances in state space (Mahalanobis distance) as a function of temporal separation ( log 10 scale). Blue (red) markers shows pairwise multivariate distances (mean ± s.e.m.) between the 0.8 s (2.27 s) and all other intervals. The slope of the fitted linear functions indicated that the rate of change in state space as a function of time is faster for the first than for the last interval.

    Journal: Scientific Reports

    Article Title: Dynamic representation of time in brain states

    doi: 10.1038/srep46053

    Figure Lengend Snippet: Distance in state space is correlated to distance in time ( a ) Multidimensional distance between the activity in the different possible intervals visualised in two dimensions using multidimensional scaling (MDS). The colour of each point represents its physical interval. ( b ) Mean distances in state space (Mahalanobis distance) as a function of temporal separation ( log 10 scale). Blue (red) markers shows pairwise multivariate distances (mean ± s.e.m.) between the 0.8 s (2.27 s) and all other intervals. The slope of the fitted linear functions indicated that the rate of change in state space as a function of time is faster for the first than for the last interval.

    Article Snippet: Trajectory in state space was visualised using metric multidimensional scaling (MDS) as implemented in MATLAB.

    Techniques: Activity Assay