David Donoho is a prominent statistician known for his contributions to various fields including computational statistics and high-dimensional data analysis. He has made significant strides in the development of methodologies for spectral clustering, which focuses on grouping data points based on the eigenvalues and eigenvectors of matrices derived from the data, thereby uncovering hidden structures in complex datasets.
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