Renormalization of the Tucker3 (and Tucker2) solution
Renormalizes the Tucker3 solution producing a core normalized to unit sum of squares (and compensating the core normalization in the component matrices).
renormsolT3(A, B, C, G, mode)
A |
Component matrix for the |
B |
Component matrix for the |
C |
Component matrix for the |
G |
Matricized core array (frontal slices) |
mode |
Renormalization option (1 if renormalization with respect to |
A list including the following components:
A |
Component matrix for the |
B |
Component matrix for the |
C |
Component matrix for the |
H |
Normalized matricized core array (frontal slices) |
Maria Antonietta Del Ferraro mariaantonietta.delferraro@yahoo.it
Henk A.L. Kiers h.a.l.kiers@rug.nl
Paolo Giordani paolo.giordani@uniroma1.it
data(Bus) # labels for Bus data laba <- rownames(Bus) labb <- substr(colnames(Bus)[1:5], 1, 1) labc <- substr(colnames(Bus)[seq(1,ncol(Bus),5)], 3, 8) # T3 solution BusT3 <- T3funcrep(Bus, 7, 5, 37, 2, 2, 2, 0, 1e-6) # sums of squares of A and core sum(BusT3$A^2) sum(BusT3$H^2) # Renormalization with respect to the A-mode BusT3rA <- renormsolT3(BusT3$A, BusT3$B, BusT3$C, BusT3$H,1) # sums of squares of A and core after renormalization sum(BusT3rA$A^2) sum(BusT3rA$H^2)
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