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Nonlinear dimensionality reduction viewed as information
retrieval
Jarkko Venna and Samuel Kaski
In: NIPS' 2006 workshop on Novel Applications of Dimensionality Reduction, 9 Dec 2006.
Abstract Nonlinear dimensionality reduction has so far been treated either as
a data representation problem or as a search for a lower-dimensional
manifold embedded in the data space. A main application for both is
information visualization, to make visible the neighborhood or
proximity relationships in the data, but neither approach has been
designed to optimize this task. We give such visualization a new
conceptualization as an information retrieval problem. This makes it possible to
rigorously quantify goodness in terms of precision and recall. A
method is introduced to optimize retrieval quality. | EPrint Type: | Conference or Workshop Item (Paper) |
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| Additional Information: | The paper is an extended abstract on the subject. |
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| Project Keyword: | Project Keyword UNSPECIFIED |
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| Subjects: | Theory & Algorithms |
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| ID Code: | 2608 |
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| Deposited By: | Jarkko Venna |
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| Deposited On: | 22 November 2006 |
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