منابع مشابه
Model-based SIR for dimension reduction
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High dimensional data are regularly generated from various sources. Thus subsets of data are usually concentrated in different subspaces. It is of interest to develop methods that achieve simultaneous dimension reduction and clustering. In this talk we will present a new solution based on a constrained version of mixture of factor analyzers. Our proposed technique imposes constraints on the und...
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0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.11.009 ⇑ Corresponding author. Address: Department of C Tongji University, Cao’an Road 4800, Shanghai 2018 3706; fax: +86 21 6958 9241. E-mail address: [email protected] (M. You). Partial least squares (PLS) has been widely applied to process scientific data sets as an effective dimension reduction technique. The main...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2011
ISSN: 0167-9473
DOI: 10.1016/j.csda.2011.05.006