Sparse Partial Least Squares Classification for High Dimensional Data
نویسندگان
چکیده
منابع مشابه
Sparse partial least squares classification for high dimensional data.
Partial least squares (PLS) is a well known dimension reduction method which has been recently adapted for high dimensional classification problems in genome biology. We develop sparse versions of the recently proposed two PLS-based classification methods using sparse partial least squares (SPLS). These sparse versions aim to achieve variable selection and dimension reduction simultaneously. We...
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ژورنال
عنوان ژورنال: Statistical Applications in Genetics and Molecular Biology
سال: 2010
ISSN: 1544-6115
DOI: 10.2202/1544-6115.1492