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Generalized Structured Component Analysis for ...
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由 K Tanioka 著作2017 — Therefore, we try to use the information of the multivariate data to interpret asymmetric relation between objects easily. In this paper, we propose new AMDS ...
Generalized Structured Component Analysis for ...
IEEE Computer Society
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IEEE Computer Society
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由 K Tanioka 著作2017 — Therefore, we try to use the information of the multivariate data to interpret asymmetric relation between objects easily. In this paper, we propose new AMDS ...
Generalized Structured Component Analysis for Dissimilarity ...
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New AMDS is proposed such that the estimated coordinates can be interpreted from the path structure like SEM, and the information of the multivariate data ...
Generalized Structured Component Analysis for Dissimilarity ...
IEEE Xplore
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IEEE Xplore
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Abstract—Asymmetric dissimilarity data is observed in various domains such as marketing area. In the situation, Asymmetric.
Generalized Structured Component Analysis for Dissimilarity ...
DBLP
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Bibliographic details on Generalized Structured Component Analysis for Dissimilarity Data and Multivariate Data.
Generalized structured component analysis
Cambridge University Press & Assessment
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Cambridge University Press & Assessment
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由 H Hwang 著作2004被引用 435 次 — We propose an alternative method to pm-tial least squares lbr path analysis with components, called generalized structured component analysis.
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(PDF) Generalized structured component analysis
ResearchGate
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2024年10月22日 — We propose an alternative method to partial least squares for path analysis with components, called generalized structured component analysis.
Fuzzy Clusterwise Generalized Structured Component ...
ResearchGate
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ResearchGate
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2024年10月22日 — In this paper, GSCA is generalized to a fuzzy clustering framework so as to account for potential group-level respondent heterogeneity. An ...
Concept of (dis)similarity in data analysis
ScienceDirect.com
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由 P Zerzucha 著作2012被引用 65 次 — (Dis)similarity matrices (the Euclidean distance matrix included) can be used for unsupervised and supervised data analysis. In this review, we use four ...
Alternatives to SEM for Multivariate Data Analysis
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2024年2月29日 — Partial least squares (PLS) and generalized structured component analysis (GSCA) are two alternatives to SEM that can handle complex models ...