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Figure 11 shows several example correlation coefficients.
Figure 11 Example correlation coefficients as a function of clutter-to-noise ratio.
For example, correlation quality (CQ), signal to noise ratio (SNR), peak or weighted SNR (PSNR or WPSNR), mean square error (MSE), structural similarity index (SSIM), mean or weighted SSIM (MSSIM or WSSIM), normalized cross-correlation (NCC), etc.
For example, correlation of gene-level values in the LnCaP-24 h sample was high between alignment methods at r = 0.97.
For example, correlation coefficients were 0.81 for skim or low fat milk and 0.94 for yogurt.
For example, correlation was 0.13 with VPT and –0.13 with the summed sensory amplitudes from NCS.
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The first example involves signals whose correlations vary in time and in the second example correlations vary in time and frequency.
Example correlations using QEDA and CSIA-D from Eastern Venezuela, West Africa Ghana, Brazilil margin, West Siberia and the Williston Basin are discussed.
For example, correlations between self-reports on the IPQ and the MPQ were.67 for Constraint,.75 for Negative Emotionality, and.77 for Positive Emotionality and the IPQ and MPQ demonstrate similar criterion-related validity (Study 1).
Educational data mining focuses on interpreting evidence from large amounts of noisy and unstructured data, for example, correlations between student behavior and learning.
Various authors have considered the existence of a mass fractionation relationship between the isotopic compositions of solar and planetary noble gases, for example correlations between isotopic compositions of planetary and solar neon and xenon.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com