Multidimensional partitioning and bi-partitioning: analysis and application to gene expression data sets
نویسندگان
چکیده
منابع مشابه
Multidimensional partitioning and bi-partitioning: analysis and application to gene expression data sets
Eigenvectors and, more generally, singular vectors, have proved to be useful tools for data mining and dimension reduction. Spectral clustering and reordering algorithms have been designed and implemented in many disciplines, and they can be motivated from several different standpoints. Here we give a general, unified, derivation from an applied linear algebra perspective. We use a variational ...
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ژورنال
عنوان ژورنال: International Journal of Computer Mathematics
سال: 2008
ISSN: 0020-7160,1029-0265
DOI: 10.1080/00207160701210158