Regularized Generalized Canonical Correlation Analysis

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multiway Regularized Generalized Canonical Correlation Analysis

Regularized Generalized Canonical Correlation Analysis (RGCCA) is currently geared for the analysis two-way data matrix. In this paper, multiway RGCCA (MGCCA) extends RGCCA to the multiway data configuration. More specifically, MGCCA aims at studying the complex relationships between a set of three-way data table.

متن کامل

Regularized Generalized Canonical Correlation Analysis Extended to Symbolic Data

Regularized Generalized Canonical Correlation Analysis (RGCCA) is a component-based approach which aims at studying the relationship between several blocks of numerical variables. In this paper we propose a method called Symbolic Generalized Canonical Correlation Analysis (Symbolic GCCA) that extends RGCCA to symbolic data. It is a versatile tool for multi-block data analysis that can deal with...

متن کامل

The RGCCA package for Regularized/Sparse Generalized Canonical Correlation Analysis

2 Multiblock data analysis with the RGCCA package 1 2.1 Regularized Generalized Canonical Correlation Analysis . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Variable selection in RGCCA: SGCCA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 Higher stage block components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.4 Implementatio...

متن کامل

Kernel Generalized Canonical Correlation Analysis

A classical problem in statistics is to study relationships between several blocks of variables. The goal is to find variables of one block directly related to variables of other blocks. The Regularized Generalized Canonical Correlation Analysis (RGCCA) is a very attractive framework to study such a kind of relationships between blocks. However, RGCCA captures linear relations between blocks an...

متن کامل

Deep Generalized Canonical Correlation Analysis

We present Deep Generalized Canonical Correlation Analysis (DGCCA) – a method for learning nonlinear transformations of arbitrarily many views of data, such that the resulting transformations are maximally informative of each other. While methods for nonlinear two-view representation learning (Deep CCA, (Andrew et al., 2013)) and linear many-view representation learning (Generalized CCA (Horst,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Psychometrika

سال: 2011

ISSN: 0033-3123,1860-0980

DOI: 10.1007/s11336-011-9206-8