Network Analysis of Time Series: Novel Approaches to Network Neuroscience
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Euclidean distance can be used for an intuitive interpretation, however as dimensions grow, many distance metrics (Manhattan, Euclidean, Chebyschev, etc.) become increasingly uninformative (this is known as the curse of high dimensionality, Aggarwal et al., 2001).
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- Euclidean distance can be used for an intuitive interpretation, however as dimensions grow, many distance metrics (Manhattan, Euclidean, Chebyschev, etc.) become increasingly uninformative (this is known as the curse of high dimensionality, Aggarwal et al., 2001).
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