LEADER 02933nam0 22003491i 450 001 UON00523088 005 20240405092615.943 010 $a978-30-307-6976-5 100 $a20240216d2021 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aMultivariate data analysis on matrix manifolds (with Manopt)$fNickolay Trendafilov, Michele Gallo 210 $aCham$eCH$cSpringer$d2021 215 $aXX, 450 p.$d23 cm. 330 $aThis graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt. The book includes numerous in-text examples as well as Manopt codes and software guides, which can be applied directly or used as templates for solving similar and new problems. The first two chapters provide an overview and essential background for studying MDA, giving basic information and notations. Next, it considers several sets of matrices routinely used in MDA as parameter spaces, along with their basic topological properties. A brief introduction to matrix (Riemannian) manifolds and optimization methods on them with Manopt complete the MDA prerequisite. The remaining chapters study individual MDA techniques in depth. The number ofexercises complement the main text with additional information and occasionally involve open and/or challenging research questions. Suitable fields include computational statistics, data analysis, data mining and data science, as well as theoretical computer science, machine learning and optimization. It is assumed that the readers have some familiarity with MDA and some experience with matrix analysis, computing, and optimization. 410 1$1001UON00523850$12001 $aSpringer series in the Data Sciences. 606 $aAnalisi multivariata$xMetodi$3UONC034747$2FI 606 $aAnalisi statistica multivariata$3UONC034757$2FI 606 $aStatistica matematica$3UONC039315$2FI 620 $aCH$dCham$3UONL005304 676 $a310$cStatistica$v21 700 1$aTrendafilov$bNickolay$3UONV295139$0848301 701 1$aGallo$bMichele$3UONV295138$0497553 712 $aSpringer$3UONV283843$4650 801 $aIT$bSOL$c20250711$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00523088 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI 2.0 0540 $eSI 50930 5 0540 $sBuono 951 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$bSI2024200 1J 20240216Bolla n. 55 del 14.3.2024. 996 $aMultivariate Data Analysis on Matrix Manifolds$94153349 997 $aUNIOR