التفاصيل البيبلوغرافية
| العنوان: |
Generalized canonical correlation analysis with missing values |
| المؤلفون: |
Velden, M. (Michel) van de, Takane, Y. |
| المصدر: |
Report / Econometric Institute, Erasmus University Rotterdam, pp. 1-21 |
| سنة النشر: |
2009 |
| المجموعة: |
RePub - Publications from Erasmus University, Rotterdam |
| مصطلحات موضوعية: |
generalized canoncial correlation analysis, missing values |
| الوصف: |
Two new methods for dealing with missing values in generalized canonical correlation analysis are introduced. The first approach, which does not require iterations, is a generalization of the Test Equating method available for principal component analysis. In the second approach, missing values are imputed in such a way that the generalized canonical correlation analysis objective function does not increase in subsequent steps. Convergence is achieved when the value of the objective function remains constant. By means of a simulation study, we assess the performance of the new methods. We compare the results with those of two available methods; the missing-data passive method, introduced Gifi's homogeneity analysis framework, and the GENCOM algorithm developed by Green and Carroll. |
| نوع الوثيقة: |
report |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
http://repub.eur.nl/pub/17106; urn:hdl:1765/17106 |
| الاتاحة: |
http://repub.eur.nl/pub/17106 |
| Rights: |
info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.79FB9390 |
| قاعدة البيانات: |
BASE |