Matches in DBpedia 2016-04 for { <http://wikidata.dbpedia.org/resource/Q17014987> ?p ?o }
Showing triples 1 to 31 of
31
with 100 triples per page.
- Q17014987 subject Q7878568.
- Q17014987 subject Q8817208.
- Q17014987 abstract "Functional principal component analysis (FPCA) is a statistical method for investigating the dominant modes of variation of functional data. Using this method, a random function is represented in the eigenbasis, which is an orthonormal basis of the Hilbert space L2 that consists of the eigenfunctions of the autocovariance operator. FPCA represents functional data in the most parsimonious way, in the sense that when using a fixed number of basis functions, the eigenfunction basis explains more variation than any other basis expansion. FPCA can be applied for representing random functions, or functional regression and classification.".
- Q17014987 wikiPageWikiLink Q1052034.
- Q17014987 wikiPageWikiLink Q12483.
- Q17014987 wikiPageWikiLink Q1411166.
- Q17014987 wikiPageWikiLink Q1518047.
- Q17014987 wikiPageWikiLink Q1530791.
- Q17014987 wikiPageWikiLink Q16000077.
- Q17014987 wikiPageWikiLink Q161519.
- Q17014987 wikiPageWikiLink Q1758614.
- Q17014987 wikiPageWikiLink Q176737.
- Q17014987 wikiPageWikiLink Q187631.
- Q17014987 wikiPageWikiLink Q190056.
- Q17014987 wikiPageWikiLink Q2046647.
- Q17014987 wikiPageWikiLink Q2061913.
- Q17014987 wikiPageWikiLink Q2621825.
- Q17014987 wikiPageWikiLink Q2873.
- Q17014987 wikiPageWikiLink Q339011.
- Q17014987 wikiPageWikiLink Q5178900.
- Q17014987 wikiPageWikiLink Q5508814.
- Q17014987 wikiPageWikiLink Q6664520.
- Q17014987 wikiPageWikiLink Q726474.
- Q17014987 wikiPageWikiLink Q7291970.
- Q17014987 wikiPageWikiLink Q753445.
- Q17014987 wikiPageWikiLink Q7546460.
- Q17014987 wikiPageWikiLink Q7878568.
- Q17014987 wikiPageWikiLink Q796265.
- Q17014987 wikiPageWikiLink Q8817208.
- Q17014987 comment "Functional principal component analysis (FPCA) is a statistical method for investigating the dominant modes of variation of functional data. Using this method, a random function is represented in the eigenbasis, which is an orthonormal basis of the Hilbert space L2 that consists of the eigenfunctions of the autocovariance operator.".
- Q17014987 label "Functional principal component analysis".