mapmind

This function implements a non-linear alignment algorithm for two parameter sets (each defined by a vector or matrix). The method minimizes the accumulated Euclidean distance of the two sets. The result is a two column matrix containing the index map of the alignment. The function also implements a method to create a mapped-copy of the sets.

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Usage 1

mapmind(0, a, b)

a, b

Are vectors are matrices containing the two parameter sets;

nrow(a)>2, nrow(b)>2, ncol(a) = ncol(b)

Each row of a/b defines one parameter value or vector (e.g. for a frame).

Result

A matrix Nx2 defining the map of the row indices of a and b with the minimum distance matrix. The first column contains the indices for a and the second column the indices for b.

Note:To minimize the distance, individual rows of a or b are duplicated. Therefore the number of rows of the result matrix N is greater than or equal to max(nrow(a),nrow(b).

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Usage 2

mapmind(1, m, x)

m

A vector containing the index map for x;

x

A vector or matrix containing the parameter set to remap.

Result 2

A vector or matrix r containing the remapped parameter set x. The number of rows of r is equal to nrow(m) and the number of columns equals ncol(x). The content of the output row r[i,*] is a copy of the input row x[m[i],*].

Result:

mappedX[ rows(map), columns(x) ]