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of sub-libraries.</li>
<br>Type <b>lans(1)</b> to list ALL functions.
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<pre><font color="#00FFFF">>>lans</font></pre>
<pre><font color="#00FFFF"> lans - Display general information about LANS toolbox
lans(1) - Display detail information about each LANS function
- dump to a file 'lans.txt' in lans or working directory
_______________________________________________________________________________
LANS Pattern Recognition Toolbox
(MATLAB 5.0 or higher required)
(C) 2000.08.13 Kui-yu Chang
http://lans.ece.utexas.edu/~kuiyu
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA
or check
http://www.gnu.org/
_______________________________________________________________________________
This messaged was invoked by the 'lans' command
- Do a help on each sub-libraries for detailed help,
e.g.
help lans-doc
help lans-fextract
- Some lans-functions, when invoked without any parameters, gives a demo
e.g.
lans_group
lans_pps
lans_classifier
- Some (deprecated) functions may require the following toolboxes, which
may be available from http://lans.ece.utexas.edu
NETLAB
GTM Toolbox
______________________________________________________________________________
Currently available sub-libraries:
lans-data - Sample LANS datasets
lans-old - Old/Deprecated functions (will be removed in future versions)
lans-matcom - Template files/scripts for MATCOM (acquired by Mathworks in 1999)
lans-visual - Visualization routines
lans-stats - Statistical Routines
lans-sim - Automated simulation (and report generation)
lans-regress - Regression routines
lans-patrec - Pattern recognition routines
lans-pose - Pose estimation routines (custom)
lans-nn - Unsupervised neural network routines
lans-io - Input/Output routines
lans-gendata - Artificial data generation routines
lans-fextract - Feature extraction routines
lans-pps - Probabilistic Principal Surface (D=1,2,3 or higher)
lans-pcurve - Principal Curve routines (D=1, may need NETLAB)
lans-psurf - Principal Surface routines (D=1,2 square, based on GTM)
lans-doc - Some documentation and scripts
lans-common - Common Routines
lans-gui - Graphical User Interfaces</font></pre>
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<li>
You may get help on individual libraries via <b>help lans-{libraryname}</b>,
e.g.</li>
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<pre><font color="#00FFFF">>> help lans-patrec
lans-patrec - Pattern recognition routines
knn1 - Find nearest k neighbours in 1 dim, sorted indices
lans_centroid - Compute centroid of a 2-D image
lans_gmoment - Compute geometric moments of a 2-D image
lans_invariant - Center and scale image to fixed mass
lans_imgscale - Scale and center a binary image w.r.t. bounding shape
lans_zi2nm - Convert index to order n and repetition m
lans_zmoment - Compute Zernike moments of a 2-D image
lans_zmrecon - Reconstruct image from Zernike Moments
lans_znm2i - Compute cumulative count of order n and repetition m
lans_zpoly - Compute Zernike polynomial over unit circle
lans_zpossible - Compute repetitions for Zernike moments of order n
lans_imgcrop - Crop/Fill image
lans_classifier - General LANS classifier framework
lans_cidx2class - Recover class name from unique integer label
lans_class2cidx - Assign unique integer label to class (non-numeric)
lans_confuse - Compute confusion matrix from ouput/desired classes</font></pre>
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<li>
Most LANS functions include comprehensive help and examples. Some functions
contain demo routines that can be invoked simply by typing the function
name without any parameters, e.g.</li>
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<pre><font color="#00FFFF">>> help lans_plot
lans_plot - Plot D-dimensional vector across multiple classes
[h] = lans_plot(data, p, options)
lans_plot(data, p)
lans_plot(data, options)
lans_plot(data)
_____OUTPUTS____________________________________________________________
h handles correpsonding to each plot type (col vector)
_____INPUTS_____________________________________________________________
data (cell/structure)
.in main DxN data
.out output/label
p plot properties (cell/structure)
.symbol plot symbol (3string)
.color colormap 1 x 3
.legend text label (string)
options (string)
-axis axis constraint (string)
normal*
equal
strict
(see matlab axis command)
-plotaxis whether to plot axis
{0,1*}
-dark darker?
{0*,1}
-hold whether to hold plot
{0*,1}
-box whether to frame plote
{0,1*}
-grid whether to add grid
{0*,1}
-plotdim whether to plot 2-D or 3-D subplots
{2*,3}
-legend whether to put legend
{0*,1}
-plotline specify line plot instead of scatter plot
{0*,l}
l: linewidth
-xticklabel whether to enumerate x axis
{0,1*}
-yticklabel whether to enumerate y axis
{0,1*}
-zticklabel whether to enumerate z axis
{0,1*}
_____NOTES______________________________________________________________
- an improved version of lans_plotmd
- for demo, call functions without parameters
- plots a 3-D graph for 3-D vdata1 unless plotdim is specified
- hold applies only to active subplot
- will not create subplots if d<=3
- BUG with matlab 5.2 : legend symbol width not updated with plot
- create legend with, e.g.
legend(h,char({'1','2','3','4','5','6'}))
_____SEE ALSO___________________________________________________________
lans_plotmd
axis
(C) 2000.06.29 Kui-yu Chang
http://lans.ece.utexas.edu/~kuiyu
>> lans_plot</font></pre>
<pre><font color="#00FFFF">running lans_plot.m in demo mode</font></pre>
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<center>Result of <b>lans_plot</b> demo routine</center>
<img SRC="lans_plot.jpg" NOSAVE height=600 width=800></td>
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