Programmer Guide/Command Reference/EVAL/mapmind: Difference between revisions
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{{DISPLAYTITLE:{{SUBPAGENAME}}}} | {{DISPLAYTITLE:{{SUBPAGENAME}}}} | ||
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. | |||
;Usage 1:<code>mapmind(0, <var>a</var>, <var>b</var>)</code> | |||
:;;<var>a, b</var>:Are vectors are matrices containing the two parameter sets; | |||
:::<code>nrow(''a'')>2, nrow(''b'')>2, ncol(''a'') = ncol(''b'')</code> | |||
::Each row of ''a''/''b'' defines one parameter value or vector (e.g. for a frame). | |||
<code> | |||
;<var>a, b</var> | |||
: | |||
:Each row defines one parameter | |||
=====Result:===== | =====Result:===== |
Revision as of 10:39, 20 April 2011
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.
- 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).
Contents
Result:
An index map for vectors a and b with the minimum distance matrix with 2 columns, 1st column is index(a), 2nd column = index(b).
The number of rows is the length of the aligned path
Usage:
map := mapmind(1, map, x)
Parameters:
- map
- A vector containing the index map.
- x
- A vector or matrix to copy or remap.
Result:
mappedX[ rows(map), columns(x) ]