cluster3 — Eisen-clustering of microarray data

       This manual page was written by Steffen Moeller moeller@pzr.uni-rostock.de for the Debian system (but may
       be  used  by  others).   Permission  is granted to copy, distribute and/or modify this document under the
       terms of the GNU General Public License, Version 2 any later  version  published  by  the  Free  Software
       Foundation.

       On Debian systems, the complete text of the GNU General Public License can be found in /usr/share/common-
       licenses/GPL.

                                                                                                     CLUSTER3(1)

       cluster3 — Eisen-clustering of microarray data

-h--help  Show summary of options.

       -ffilename
                 file loding

       -ujobname
                 Allows you to specify a different name for the output files (default is derived from the  input
                 file name)

       -l0|1    Specifies whether to log-transform the data (default is 0, no log-transform)

       -knumber Specifies  whether to run k-means clustering instead of hierarchical clustering, and the number
                 of clusters k to use (default: 0)

       -xnumber Specifies the horizontal dimension of the SOM grid (default: 2)

       -ynumber Specifies the vertical dimension of the SOM grid (default: 1)

       -s0|1    Specifies whether to calculate an SOM instead of hierarchical clustering (default: 0)

       -v--version
                 Show version of program.

       -g [0..9]     Specifies the distance measure for gene clustering 0:  No  gene  clustering  1:  Uncentered
       correlation  2:  Pearson  correlation  3:  Uncentered correlation, absolute value 4: Pearson correlation,
       absolute value 5: Spearman's rank correlation 6: Kendall's tau  7:  Euclidean  distance  8:  Harmonically
       summed Euclidean distance 9: City-block distance (default: 1)

       -e  [0..9]      Specifies  the  distance measure for microarray clustering 0: No clustering 1: Uncentered
       correlation 2: Pearson correlation 3: Uncentered correlation,  absolute  value  4:  Pearson  correlation,
       absolute  value  5:  Spearman's  rank  correlation 6: Kendall's tau 7: Euclidean distance 8: Harmonically
       summed Euclidean distance 9: City-block distance (default: 0)

       -m [msca]     Specifies which hierarchical clustering method  to  use  m:  Pairwise  complete-linkage  s:
       Pairwise single-linkage c: Pairwise centroid-linkage a: Pairwise average-linkage (default: m)

       mapletree (1), smile (1).

cluster3  [-ffilename][-l0|1][-ujobname][-g[0..9]][-e[0..9]][-m[msca]][-knumber][-s0|1][-xnumber][-ynumber]