Construct · 1 fields · 1 citations

locally linear embedding: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning

nonlinear dimension reduction that reconstructs each point from its neighbors and finds a low-dimensional embedding preserving those local reconstruction weights.

In machine learning, locally linear embedding refers to nonlinear dimension reduction that reconstructs each point from its neighbors and finds a low-dimensional embedding preserving those local reconstruction weights. This meaning comes from Roweis (2000) in Science.[1]

Unit
Recovery means
Measured by

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Nearby constructs

dimension4 fields · 5 citationsjingle · one word, four constructs embedding2 fields · 3 citationsjingle · one word, two constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Roweis, S. T., & Saul, L. K. (2000). Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science, 290(5500), 2323-2326. https://doi.org/10.1126/science.290.5500.2323

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