patients and methods in this cross-sectional study, data of 584 female patients (mean age of 45.9 years) referred to breast cancer research center (tehran, iran) were analyzed anonymously. spss and norm softwares (2.03) were used for data transformation, running and interpretation of cca and replacing missing values, respectively. data were obtained from breast cancer research center, tehran, i...

We study the extension of canonical correlation from pairs of random vectors to the case where a data sample consists of pairs of square integrable stochastic processes. Basic questions concerning the definition and existence of functional canonical correlation are addressed and sufficient criteria for the existence of functional canonical correlation are presented. Various properties of functi...

Manifold matching works to identify embeddings of multiple disparate data spaces into the same low-dimensional space, where joint inference can be pursued. It is an enabling methodology for fusion and inference from multiple and massive disparate data sources. In this paper we focus on a method called Canonical Correlation Analysis (CCA) and its generalization Generalized Canonical Correlation ...

the purpose of this research was to investigate the relationship between emotional intelligence and academic performance evaluation. the population of the study included faculty members of the university of urmia in 1391. to select a sample, stratified random sampling method was used while considering the proportions. in total, 200 people were selected. the study was of descriptive - correlatio...

This paper presents a novel supervised regularized canonical correlation analysis, termed as CuRSaR, to extract relevant and significant features from multimodal high dimensional omics data sets [1]. The proposed method extracts a new set of features from two multidimensional data sets by maximizing the relevance of extracted features with respect to sample categories and significance among the...

Canonical correlation analysis is a versatile multivarite technique that is prone to distortion as a result of correlation outliers. The detection and treatment of such outliers is complicated by outlier masking effects. Methods that check the effect of one observation at a time are therefore unsuccessful as diagnostic tools. In this paper we suggest that an approach involving the robust estima...

Canonical Correlation Analysis is a technique for finding pairs of basis vectors that maximise the correlation of a set of paired variables, these pairs can be considered as two views of the same object. This paper provides a stability analysis of Canonical Correlation Analysis by defining a pattern function that captures the degree to which the features from the two views are similar. We analy...