High-dimensional data refers to datasets that contain a large number of features or variables relative to the number of observations. This type of data is increasingly prevalent in various fields, especially in biological systems, where complex interactions between many variables can be analyzed. High-dimensional data poses unique challenges and opportunities for integrating advanced technologies, as traditional methods may struggle with the complexity and volume of information.
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