Results 21 to 30 of about 173,823 (243)
Kernel functional canonical correlation analysis
Canonical correlation methods for data representing functions or curves have received much attention in recent years. Such data, known in the literature as functional data (Ramsay and Silverman, 2005), has been the subject of much recent research ...
Mirosław Krzyśko, Łukasz Waszak
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Canonical correlation analysis: an introduction to a multivariate statistical analysis
No abstract ...
Nuwan Darshana Wickramasinghe
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Estimating the Number of Significant Canonical Coordinates
This study proposes a novel model selection criterion for dimensionality estimation in canonical correlation analysis (CCA), which can be used to estimate the number of correlated components between two sets of multivariate vectors, particularly in the ...
Abd-Krim Seghouane, Navid Shokouhi
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Classification of Crystallographic Data Using Canonical Correlation Analysis
A reliable and automatic method is applied to crystallographic data for tissue typing. The technique is based on canonical correlation analysis, a statistical method which makes use of the spectral-spatial information characterizing X-ray diffraction ...
Lamura A, Laudadio T, Ladisa M
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Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis [PDF]
Recently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases.
Inyoung Jun, Wooree Choi, Mira Park
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Stochastic Canonical Correlation Analysis
Accepted by ...
Gao, Chao +4 more
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Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence
We propose a generalized method of the canonical correlation analysis using Alpha-Beta divergence, called AB-canonical analysis (ABCA). From observations of two random variables, x ∈ RP and y ∈ RQ, ABCA finds directions, wx ∈ RP and wy ∈ RQ, such that ...
Andrzej Cichocki, Abhijit Mandal
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Using canonical correlation analysis to discover genetic regulatory variants. [PDF]
Discovering genetic associations between genetic markers and gene expression levels can provide insight into gene regulation and, potentially, mechanisms of disease.
Melissa G Naylor +4 more
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Canonical correlation analysis for gene-based pleiotropy discovery.
Genome-wide association studies have identified a wealth of genetic variants involved in complex traits and multifactorial diseases. There is now considerable interest in testing variants for association with multiple phenotypes (pleiotropy) and for ...
Jose A Seoane +4 more
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ANALYSIS OF STUDENT PERFORMANCE BASED ON CANONICAL CORRELATION ANALYSIS
The article examines the application of Canonical Correlation Analysis (CCA) to investigate the relationships between student performance outcomes across different groups of disciplines.
Катерина БЕРЕЗЬКА +3 more
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