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Canonical correlation analysis using within-class coupling
2011
Pattern Recognition Letters
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In this study, a new strategy for reducing LDA to Hotelling's canonical correlation analysis (CCA) is proposed. ...
CCA seeks prominently correlated projections between two views of data and it has been long known to be equivalent to LDA when the data features are used in one view and the class labels are used in the ...
Canonical correlation analysis (CCA) Canonical correlation analysis (CCA) is introduced by Hotelling (1936) to describe the linear relation between two multidimen-sional (or two sets of) variables as the ...
doi:10.1016/j.patrec.2010.09.025
fatcat:vbinm5dqjjghlmf34jsqmxrf3q
What does it Mean to Make a 'Joint' Decision? Unpacking Intra-household Decision Making in Agriculture: Implications for Policy and Practice
2019
Figshare
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Strategies to empower women in development contexts frequently address their authority to take decisions within their household, including decisions that are taken jointly by couples. ...
We supplement the survey data with an in-depth study in Lodi village, where we reconstruct meanings attached to joint decision-making using focus group discussions, a decision-making game and participant ...
3
0,009
0,010
0,018
14,604
98,749
Canonical 4
0,001
0,001
0,018
1,251
100,000
Class means
Canonical 1
Canonical 2
Canonical 3
Disagree
-0,015
-0,075
-0,041
Joint Couple
-0,095
0,096 ...
doi:10.6084/m9.figshare.9509492.v1
fatcat:ibxen522vvdx7nmx6lmrtdatru
Survey on Mining Semantically Consistent Patterns for CrossView Data
2015
International Journal on Recent and Innovation Trends in Computing and Communication
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This paper reviews the research work on a general framework to discover the SCP for cross-view data web crawling algorithms used on searching a general framework to discover the SCP for cross-view data ...
Partial Least Squares (PLS) [2]: It is a method similar to canonical correlation analysis (CCA) [2] , CCA is used to find directions of maximum correlation where PLS used to find directions of maximum ...
Canonical Correlation Analysis (CCA) [2]: CCA is a method of correlating linear relationships between two multidimensional variables [2] . ...
doi:10.17762/ijritcc2321-8169.1504116
fatcat:lctzetljhnf6hjtmogascdsm3a
Assessing Software Maintainability Based on Class Diagram Design: A Preliminary Case Study
2016
Lecture Notes on Software Engineering
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Statistical findings show that some class diagram metrics (such as the number of class association across packages, the number of classes, the inheritance depth for a class et al.) are significantly correlated ...
The result can guide maintenance-oriented software design, and also motivates us to do a stronger empirical evaluation. Index Terms-Software maintainability, class diagram metrics, change history. ...
ACKNOWLEDGMENT We want to thank SDMetrics group for providing their excellent tool freely, and their kind help on the tool use. ...
doi:10.7763/lnse.2016.v4.223
fatcat:l7yfc6z5wnbdnmflxl2iwqzepu
SOIL PROPERTIES AND LANDTYPES--CLASSIFICATION AND IDENTIFICATION WITH DISCRIMINANT ANALYSIS
1992
Conference on Applied Statistics in Agriculture
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Canonical correlation was used to identify soil properties most responsible for separating soils into groups related to landtypes. ...
Discriminant analysis, in conjunction with canonical correlation, shows promise for identifying key variables for numerically classifying soils into related populations. ...
Their analysis revealed that soil properties other than those used in Soil Taxonomy were important discriminators among soil classes. ...
doi:10.4148/2475-7772.1409
fatcat:x3fbbrp75bb67iinnk5eptvbne
Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models
[chapter]
2009
Lecture Notes in Computer Science
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The two techniques, the cross modal factor analysis (CFA) and canonical correlation analysis(CCA) show a significant reduction in dimensionality and class-prediction error, and improvement in classification ...
Several studies on analysis of gene expression data has shown that the genes (whether or not they belong to the same gene group) get co-expressed via a variety of pathways. ...
) and Canonical Correlation Analysis(CFA). ...
doi:10.1007/978-3-642-04031-3_5
fatcat:y72cgmjacbeirlvruanjxpi63m
Abstract interpretation of declarative languages
1988
Information and Software Technology
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Other papers will detail the classes defined in ade4 for twotables coupling methods (such as canonical correspondence analysis, redundancy analysis, and coinertia analysis), for methods dealing with K-tables ...
We are preparing a second paper, dealing with two-tables coupling methods, among which canonical correspondence analysis and redundancy analysis are the most frequently used in ecology (Legendre and Legendre ...
doi:10.1016/0950-5849(88)90032-8
fatcat:gt4bwcitl5boza7qdayup7at2q
Page 7413 of Mathematical Reviews Vol. , Issue 98K
[page]
1998
Mathematical Reviews
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This analysis could be useful to understand the physics of coupled critical models like the fully frustrated YY model.”
98k:82067 82B27 82820
Wang, Zhi Guo (PRC-JTU-AP; Shanghai);
Xu, Bo Wei (PRC-JTU-AP ...
In this article, we show how Luck’s criterion can be derived within an exact renormalization scheme for Ising quantum chains with coupling constants modulated ac- cording to substitution rules. ...
Audiovisual Synchronization and Fusion Using Canonical Correlation Analysis
2007
IEEE transactions on multimedia
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In this paper, we propose a new multimodal fusion strategy for open-set speaker identification using a combination of early and late integration following canonical correlation analysis (CCA) of speech ...
We note that the proposed fusion strategy outperforms others because the features used in the late integration are truly uncorrelated, since they are output of the CCA analysis. ...
We propose using the canonical correlation analysis (CCA) to achieve synchronization (see Appendix for a brief review of the canonical correlation analysis). ...
doi:10.1109/tmm.2007.906583
fatcat:ih75ob7iirh4rka7soaucsacle
Multidimensional Associations between Cognition and Connectome Organization in Temporal Lobe Epilepsy
[article]
2019
bioRxiv
pre-print
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Using canonical correlation analysis, we identified multivariate associations between cognitive profiles and structural network signatures. ...
RESULTS: Both multivariate techniques provided converging evidence for a close coupling between cognitive impairments across multiple domains and large-scale structural network compromise in TLE. ...
Diagram of the regularized canonical correlations analysis. ...
doi:10.1101/675884
fatcat:fnnbqeatgrefjbp4inb4g6pafa
Two-channel constrained least squares problems: solutions using power methods and connections with canonical coordinates
2005
IEEE Transactions on Signal Processing
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For each set of constraints, the solution is determined by a coupled (asymmetric) generalized eigenvalue problem. ...
constraints, eScholarship provides open access, scholarly publishing services to the University of California and delivers a dynamic research platform to scholars worldwide. the solution is determined by a coupled ...
Two-Channel Constrained Least Squares Problems: Solutions Using Power Methods and Connections with Canonical Coordinates and canonical correlation analysis [1] - [5] . ...
doi:10.1109/tsp.2004.837400
fatcat:i5wextyxefatvjph7iwryeqvji
Multidimensional associations between cognition and connectome organization in temporal lobe epilepsy
2020
NeuroImage
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Using canonical correlation analysis, we identified a multivariate mode that links cognitive performance to a brain structural network. ...
Our multivariate approach emphasized a close coupling of cognitive dysfunction and large-scale network anomalies in TLE. ...
Cortical thickness was measured for each participant using
Multivariate Analyses a) Regularized canonical correlation analysis. ...
doi:10.1016/j.neuroimage.2020.116706
pmid:32151761
fatcat:zgblj4icazddzaytizfjektbrq
Cluster Canonical Correlation Analysis
2014
International Conference on Artificial Intelligence and Statistics
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In this paper we present cluster canonical correlation analysis (cluster-CCA) for joint dimensionality reduction of two sets of data points. ...
Furthermore, we present a kernel extension, kernel cluster canonical correlation analysis (cluster-KCCA) that extends cluster-CCA to account for non-linear relationships. ...
To address this, we propose two solutions viz. mean canonical correlation analysis (mean-CCA) and cluster canonical correlation analysis (cluster-CCA). ...
dblp:conf/aistats/RasiwasiaMMA14
fatcat:l3ivkf7atreeda3sjcpbnt4fgm
The smell of longevity: a combination of Volatile Organic Compounds (VOCs) can discriminate centenarians and their offspring from age-matched subjects and young controls
2019
GeroScience
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To this purpose, we performed a discriminant analysis by which we were able to identify specific profiles of urinary and fecal VOCs. ...
VOCs in healthy aging and longevity in humans; therefore, we investigated the profile of VOCs in both urine and feces samples from 73 volunteers of different age including centenarians that represent useful ...
Three complementary techniques were used to discriminate the 4 groups (Y, CENT, ECO, and EC): canonical discriminant analysis (CDA), stepwise discriminant analysis (SDA), and discriminant analysis (DA) ...
doi:10.1007/s11357-019-00143-6
pmid:31808027
pmcid:PMC7031465
fatcat:cavrfwrcbnbo3chra34sekd7q4
CO-INERTIA ANALYSIS AND THE LINKING OF ECOLOGICAL DATA TABLES
2003
Ecology
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Co-inertia analysis is based on this criterion as are canonical correspondence analysis or canonical correlation analysis, but the latter two have additional constraints. ...
It is often neglected by ecologists who prefer the widely used methods of redundancy analysis and canonical correspondence analysis. ...
Legendre and Mike Palmer, whose suggestions and comments have allowed us to improve the first version of this text. We also wish to thank Peter Minchin for his very useful COMPAS program. ...
doi:10.1890/03-0178
fatcat:35awlnxzl5blvfbmheahanjf3m
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