Analysis of correlation based dimension reduction methods
نویسندگان
چکیده
منابع مشابه
Analysis of Correlation Based Dimension Reduction Methods
Dimension reduction is an important topic in data mining and machine learning. Especially dimension reduction combined with feature fusion is an effective preprocessing step when the data are described by multiple feature sets. Canonical Correlation Analysis (CCA) and Discriminative Canonical Correlation Analysis (DCCA) are feature fusion methods based on correlation. However, they are differen...
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ژورنال
عنوان ژورنال: International Journal of Applied Mathematics and Computer Science
سال: 2011
ISSN: 1641-876X
DOI: 10.2478/v10006-011-0043-9