High-dimensional data structures refer to specialized frameworks designed to efficiently organize, store, and retrieve data that exists in a space with a large number of dimensions. These structures are crucial for managing and processing high-dimensional data, which is increasingly common in fields like machine learning and computer vision. They help overcome the challenges posed by the 'curse of dimensionality,' which can complicate data analysis and lead to inefficiencies in computations.
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