Note that according to the assignment of the vectors and matrices, we require begin{array}{*{20}l} T = max left{ d_{text{in}}(mathsf{A}_{2}), d_{text{out}}(mathsf{A}_{2}) right} = d_{max}.
The assignment of the transmit vectors in the first layer is identical to that of Theorem 2 as given in (35).
Finally, we note that for all 3×3×3 networks, the assignment of the transmit vectors and matrices is the same for the linear deterministic model and the Gaussian model.
For K×2×K networks, the assignment of the transmit vectors and matrices is the same for the linear deterministic model and the Gaussian model.
For single-layer folded-chain networks, the assignment of the transmit vectors in (35) is the same for the linear deterministic model and the Gaussian model.
For dealing with pseudo-symmetries of all kinds, it is also helpful when a computer program allows the user to overwrite an automatic (default) assignment of the reciprocal basis vectors in the amplitude map of a dFT of a more or less 2D-periodic image.
The minimum-cost assignment of basis vector pairs is found using the Munkres algorithm [ 52] i.e. a set of pairs is found that minimizes the global cost.
rmVQ_fk_nps a variant of VQ_fk_nps is obtained by using random vectors in step 1.2 of the initialization phase as originally defined in vector quantization and using an entire update on the distance matrix after the cluster assignment of all the data vectors in step 2.1 of the cluster update phase as originally proposed in kernel-based vector quantization in [10].
mVQ_fk_nps also as a variant of VQ_fk_nps, mVQ_fk_nps is obtained by using an entire update on the distance matrix after the cluster assignment of all the data vectors in step 2.1 of the cluster update phase as originally proposed in kernel-based vector quantization in [10].
The 1D-SOM supporthethe search for relevant metabolites in two aspects: First, according to the assignment of data vectors to certain array positions, a "pre-clustering" of the data facilitates the analysis of large and noisy data sets.
The soft assignment vector o(t) describes the relative position of the vector in the space drawn by the key poses at frame t.
