Kuroda, Masahiro
Nonlinear Principal Component Analysis and Its Applications
1. Introduction
Yuichi Mori, Masahiro Kuroda, Naomichi Makino
Part I. Nonlinear Principal Component Analysis
2. Nonlinear Principal Component Analysis
Yuichi Mori, Masahiro Kuroda, Naomichi Makino
3. Multiple Correspondence Analysis
Yuichi Mori, Masahiro Kuroda, Naomichi Makino
Part II. Applications and Related Topics
4. Variable Selection in Nonlinear Principal Component Analysis
Yuichi Mori, Masahiro Kuroda, Naomichi Makino
5. Sparse Multiple Correspondence Analysis
Yuichi Mori, Masahiro Kuroda, Naomichi Makino
6. Joint Dimension Reduction and Clustering
Yuichi Mori, Masahiro Kuroda, Naomichi Makino
7. Acceleration of Convergence of the Alternating Least Squares Algorithm for Nonlinear Principal Component Analysis
Yuichi Mori, Masahiro Kuroda, Naomichi Makino
Avainsanat: Statistics, Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
- Tekijä(t)
- Kuroda, Masahiro
- Makino, Naomichi
- Mori, Yuichi
- Julkaisija
- Springer
- Julkaisuvuosi
- 2016
- Kieli
- en
- Painos
- 1
- Sarja
- SpringerBriefs in Statistics
- Sivumäärä
- 8 sivua
- Kategoria
- Eksaktit luonnontieteet
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9789811001598
- Painetun ISBN
- 978-981-10-0157-4