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Kuleshov et al., 2017 - Google Patents

High-dimensional density estimation for data mining tasks

Kuleshov et al., 2017

Document ID
12873439210039874000
Author
Kuleshov A
Bernstein A
Yanovich Y
Publication year
Publication venue
2017 IEEE International Conference on Data Mining Workshops (ICDMW)

External Links

Snippet

Consider a problem of estimating an unknown high dimensional density whose support lies on unknown low-dimensional data manifold. This problem arises in many data mining tasks, and the paper proposes a new geometrically motivated solution for the problem in manifold …
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Classifications

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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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