Mixed data fingerprinting with principal components analysis

Principal components analysis is applied to data sets to fingerprint the dataset or to compare the dataset to a "wild file" that may have been constructed from data found in the dataset. Principal components analysis allows for the reduction of data used for comparison down to a parsimonio...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Rose, Martin, Leung, Christina Tsz Ling
Format: Patent
Sprache:eng
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