Titlebook: Knowledge Discovery in Spatial Data; Yee Leung Book 2009 Springer-Verlag Berlin Heidelberg 2009 Algorithm.Clustering.Geographical Informat

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Yee Leungcorresponding principal bundles. The most familiar are: the Lorentz group = 0(3,1,8) which uses the bundle of orthonormal frames, GL(4,R) with the general linear frame bundle, the Poincare group = IO(3,1,R) with the affine orthonormal frame bundle, and the spinor group, SL(2,C), with the orthonormal

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Yee Leungcorresponding principal bundles. The most familiar are: the Lorentz group = 0(3,1,8) which uses the bundle of orthonormal frames, GL(4,R) with the general linear frame bundle, the Poincare group = IO(3,1,R) with the affine orthonormal frame bundle, and the spinor group, SL(2,C), with the orthonormal

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Yee Leung(these are also defined by Kostant but we present a directly geometrical definition which is more convenient for our purposes), vector bundles, and principal bundles..With these notions in place, we can define a graded G-structure on a graded manifold In the simplest non-trivial case, this leads imm

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Yee Leungcorresponding principal bundles. The most familiar are: the Lorentz group = 0(3,1,8) which uses the bundle of orthonormal frames, GL(4,R) with the general linear frame bundle, the Poincare group = IO(3,1,R) with the affine orthonormal frame bundle, and the spinor group, SL(2,C), with the orthonormal

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Yee Leung(these are also defined by Kostant but we present a directly geometrical definition which is more convenient for our purposes), vector bundles, and principal bundles..With these notions in place, we can define a graded G-structure on a graded manifold In the simplest non-trivial case, this leads imm

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(these are also defined by Kostant but we present a directly geometrical definition which is more convenient for our purposes), vector bundles, and principal bundles..With these notions in place, we can define a graded G-structure on a graded manifold In the simplest non-trivial case, this leads imm