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Wearable sensors generate multi-dimensional, nonlinear, dynamic data streams with weak correlation between data points.
When data are truly independent, the correlation between data points is zero.
For each property, anisotropic variograms were used to adequately capture the spatial correlation between data points.
In practice, the existence of correlation between data points acquired from gene expression technologies should be expected, and there is a need for accurate estimation of transcriptional states of genes under these conditions.
The classification analysis was performed on the original volume, rather than the interpolated surface, data, because interpolation introduces correlation between data points, which decreases the power of the classification procedure.
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Others use weighted graphs to depict the strength of the correlations between data points in a database.
Frequently, the edges have associated numbers called "weights," which might represent, say, the strength of correlations between data points in a data set, or the distances between cities. Graphs crop up in a wide range of computer science problems, but their most intuitive use may be to describe geographic relationships.
To identify which functional assessments coordinated most closely with ALSFRS-R scores, Pearson correlations were calculated between data points for the various functional outcome measures.
However, there exists correlation between sampled data points.
To model the spatial correlation between the data points, an anisotropic variogram was built.
In this way, the correlation between the data points from the same calibrated source has been included to avoid the overestimation of the uncertainty in the measured efficiency.
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