Code covered by the BSD License  

Highlights from
Statistical Learning Toolbox

from Statistical Learning Toolbox by Dahua Lin
Functions for statistical learning, pattern recognition and computer vision, covering many topics.

slmetric_pw_blks(X1, X2, ps, dstpath, mtype, varargin)
function slmetric_pw_blks(X1, X2, ps, dstpath, mtype, varargin)
%SLMETRIC_PW_BLKS Compute the pairwise metrics in a blockwise manner
%
% $ Syntax $
%   - slmetric_pw_blks(X1, X2, ps, dstpath, mtype, ...)
%
% $ Arguments $
%   - X1:       the first sample matrix
%   - X2:       the second sample matrix
%   - ps:       the partition structure of the score matrix
%   - dstpath:  the destination path
%   - mtype:    the metric type
%
% $ Description $
%   - slmetric_pw_blks(X1, X2, ps, dstpath, mtype, ...) computes the 
%     pairwise metric values for large dataset in blockwise manner.
%     Each block of scores are computed respectively and stored in files.
%     This function is an extension of slmetric_pw to support 
%     blockwise score computation. 
%     Please refer to slmetric_pw and slpwcomp_blks for more information
%     on the usage.
%
% $ History $
%   - Created by Dahua Lin, on Aug 9th, 2006
%

if nargin < 5
    raise_lackinput('slmetric_pw_blks', 5);
end

slpwcomp_blks(X1, X2, ps, dstpath, 'slmetric_pw', mtype, varargin{:});

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