Generalized Principal Planes
نویسنده
چکیده
ABSTRACT We introduce a statistical method for the decomposition of data sets into planes. With the help of principal component analysis or factor analysis the data are presented in a lower-dimensional space. The factors spanning this new co-ordinate system are rotated afterwards in that sense to fulfill the idea of simple structure, extended to two dimensions. The resulting planes which are spanned by two factors each are called generalized principal planes. Dependent on the rotation criterion, these planes are orthogonal or oblique to each other.
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