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• W2949061782 abstract "We study the problem of estimating a manifold from random samples. In particular, we consider piecewise constant and piecewise linear estimators induced by k-means and k-flats, and analyze their performance. We extend previous results for k-means in two separate directions. First, we provide new results for k-means reconstruction on manifolds and, secondly, we prove reconstruction bounds for higher-order approximation (k-flats), for which no known results were previously available. While the results for k-means are novel, some of the technical tools are well-established in the literature. In the case of k-flats, both the results and the mathematical tools are new." @default.
• W2949061782 created "2019-06-27" @default.
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• W2949061782 date "2012-09-05" @default.
• W2949061782 modified "2023-09-27" @default.
• W2949061782 title "Learning Manifolds with K-Means and K-Flats" @default.
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