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📄 som_stats.html

📁 Kohonen的SOM软件包
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<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"><html><head><title>SOM Toolbox / som_stats </title></head><body bgcolor=#f0f0f0><table border=0 width="100%" cellpadding=0 cellspacing=0><tr><td valign=baseline><font size=+2>SOM Toolbox</font></td><td valign=baseline align=center><a href="somtoolbox.html">Online documentation</td><td valign=baseline align=right><a href="http://www.cis.hut.fi/projects/somtoolbox/" target="_top">http://www.cis.hut.fi/projects/somtoolbox/</a></td></tr></table><hr><H1> som_stats </H1><P><B> csS = som_stats(D,varargin)</B></P><PRE>SOM_STATS Calculate descriptive statistics for the data.   csS = som_stats(D,[sort]);    csS = som_stats(D);   csS = som_stats(D,'nosort');   som_table_print(som_stats_table(csS))  Input and output arguments ([]'s are optional):    D           (matrix) a matrix, size dlen x dim               (struct) data or map struct   [sort]      (string) 'sort' (default) or 'nosort'                        If 'nosort' is specified, the data is not                         sorted, and therefore the values of                        nunique, uvalues, ucount, fvalues, fcount, and tiles fields                         are not calculated. This may be useful if                        there is a very large amount of data, and                        one wants to reduce calculation time.   csS         (cell array) size dim x 1, of statistics structs with                         the following fields      .type             (string) 'som_stat'      .name             (string) name of the variable      .normalization    (struct array) variable normalization (see SOM_NORMALIZE)      .ntotal           (scalar) total number of values      .nvalid           (scalar) number of valid values (not Inf or NaN)      .min              (scalar) minimum value       .max              (scalar) maximum value       .mean             (scalar) mean value (not Inf or NaN)      .std              (scalar) standard deviation (not Inf or NaN)      .nunique          (scalar) number of unique values      .mfvalue          (vector) most frequent value      .mfcount          (vector) number of occurances of most frequent value      .values           (vector) at most MAXDISCRETE (see below) sample values       .counts           (vector) number of occurances for each sampled value      .tiles            (vector) NT-tile values, for example                                    NT=4   for quartiles: 25%, 50% and 75%                                    NT=100 for percentiles: 1%, 2%, ... and 99%      .hist             (struct) histogram struct with the following fields           .type        (string) 'som_hist'           .bins        (vector) histogram bin centers            .counts      (vector) count of values in each bin           .binlabels   (cellstr) labels for the bins (denormalized bin                                  center values)           .binlabels2  (cellstr) labels for the bins (denormalized bin                                  edge values, e.g. '[1.4,2.5['   Constants:       MAXDISCRETE = 10      NT          = 10 See also  SOM_STATS_PLOT, SOM_STATS_TABLE, SOM_TABLE_PRINT, SOM_STATS_REPORT.</PRE><p><hr><br><center>[ <a href="somtoolbox.html">SOM Toolbox online doc</a> ]</center><br><!-- Last updated: May 30 2002 --></body></html>

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