brede_mat_dist - Distance between objects function D = brede_mat_dist(M, varargin) Input: M 'Mat' structure or matrix Property: Distance [ {InnerProduct} | Covariance | CorrCoef | RawCorrCoef ] Distance or similarity measure Output: D 'Mat' structure with a symmetric distance matrix. Calculate the distance between the objects, ie, between one row and an other. If the input matrix is of size NxP the the distance matrix will be NxN. The input might also be an ordinary numeric matrix. If the input is a structure and the 'rows' field exists the these are copied to the 'rows' and 'columns' field of the output structure. 'Distance'='innerproduct' the distance matrix is X * X'. 'Distance'='covariance' is the same a the inner product but with center data. 'Distance'='RawCorrCoef' is the correlation coefficient without centering. 'Distance'='CorrCoef' is the correlation coefficient with centering. NaN elements are ignored. If there are missing values and the 'CorrCoef' distance is used then the distance matrix might have elements larger than one. 'Covariance' are normalized with the number of elements (that are not NaN) in each row of M.matrix. See also BREDE, BREDE_MAT, BREDE_MAT_PLOT_MDS, BREDE_MAT_PLOT_COUNT, BREDE_MAT_TRANSPOSE, BREDE_BIB_BIB2MAT, BREDE_EXP_EXP2MAT. $Id: brede_mat_dist.m,v 1.10 2005/05/09 19:16:06 fnielsen Exp $

- brede_mat_center brede_mat_center - Centering of a 'mat' structure

- brede_bib_bib2html brede_bib_bib2html - Convert 'Bib' structure to HTML
- brede_exp_exp2html brede_exp_exp2html - Write 'exp' structures to HTML files
- brede_html_vol2html brede_html_vol2html - Construct HTML files with probability volumes

Generated on Fri 27-Nov-2009 18:11:22 by