The main goal of this book is to introduce a new method to study hybrid models, referred to as generalized principal component analysis. The general problems that GPCA aims to address represents a fairly general class of unsupervised learning problems— many data clustering and modeling methods in machine learning can be viewed as special cases of this method. This book provides a comprehensive introduction of the fundamental statistical, geometric and algebraic concepts associated with the estimation (and segmentation) of the hybrid models, especially the hybrid linear models.
- ISBN: 978-0-387-87810-2
- Editorial: Springer
- Encuadernacion: Cartoné
- Fecha Publicación: 06/12/2015
- Nº Volúmenes: 1
- Idioma: Inglés