Automated structure solution from multiple data sets
نویسندگان
چکیده
منابع مشابه
Extracting Coactivated Features from Multiple Data Sets
We present a nonlinear generalization of Canonical Correlation Analysis (CCA) to find related structure in multiple data sets. The new method allows to analyze an arbitrary number of data sets, and the extracted features capture higher-order statistical dependencies. The features are independent components that are coupled across the data sets. The coupling takes the form of coactivation (depen...
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ژورنال
عنوان ژورنال: Acta Crystallographica Section A Foundations and Advances
سال: 2015
ISSN: 2053-2733
DOI: 10.1107/s2053273315099696