Open AccessFast decomposition on proper vectors in multidimensional space
Author(s) -
D N Gerasimov,
S B Morgunova
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1683/2/022015
Subject(s) - representation (politics) , realization (probability) , set (abstract data type) , decomposition , space (punctuation) , singular value decomposition , computer science , algorithm , multidimensional data , karhunen–loève theorem , mathematics , algebra over a field , data mining , pure mathematics , statistics , ecology , biology , operating system , politics , political science , law , programming language
A recursive method to obtain proper vectors for a data set representation is proposed. This method faster than Karhunen-Loève expansion in SVD-realization for multidimensional space.