Lecture outline. Dimensionality reduction SVD/PCA CUR decompositions Nearest-neighbor search in low dimensions kd-trees. Datasets in the form of matrices. We are given n objects and d features describing the objects. (Each object has d numeric values describing it.) Dataset

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