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9

SDM
2004
SIAM

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Nonlinear Manifold Learning for Data Stream

13 years 5 months ago

Nonlinear Manifold Learning for Data Stream

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There has been a renewed interest in understanding the structure of high dimensional data set based on manifold learning. Examples include ISOMAP [25], LLE [20] and Laplacian Eigenmap [2] algorithms. Most of these algorithms operate in a "batch" mode and cannot be applied efficiently for a data stream. We propose an incremental version of ISOMAP. Our experiments not only demonstrate the accuracy and efficiency of the proposed algorithm, but also reveal interesting behavior of the ISOMAP as the size of available data increases.

Martin H. C. Law, Nan Zhang 0002, Anil K. Jain

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Available Data Increases | Data Mining | Examples Include Isomap | Laplacian Eigenmap | SDM 2004 |

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Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2004
Where	SDM
Authors	Martin H. C. Law, Nan Zhang 0002, Anil K. Jain

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