论文信息 - Dimensionality reduction of full fields by the principal components analysis

Dimensionality reduction of full fields by the principal components analysis

The principal components analysis is applied to simulated full field displacement maps of 4569 measurement points thus allowing representation of any field within a certain domain as a linear combination of five basis vectors without losing significant information. A dimensionality reduction from 4569 to only 5 is thus achieved.

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