English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Principal components analysis of an hilbertian random variable is defined in the abstract functionnal framework of interpolating and smoothing spline functions. The statistical description of different kinds of processes is then obtained by particularizing the Hilbert spaces to be considered. This theoretical approach allows to deal with the approximation by discretization and sampling and furthermore to solve the problems of convergence in the général case. KEY-WOR.DS : : Principal components analysis, hilbertian random variable, spline functions.

Approximation spline de l'analyse en composantes principales d'une variable aléatoire hilbertienne