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[Octave-cvsupdate] SF.net SVN: octave:[10740] trunk/octave-forge/main/fuzzy-logic-toolkit/inst
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From: <lm...@us...> - 2012-07-10 14:20:13
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Revision: 10740
http://octave.svn.sourceforge.net/octave/?rev=10740&view=rev
Author: lmarkov
Date: 2012-07-10 14:20:04 +0000 (Tue, 10 Jul 2012)
Log Message:
-----------
M inst/gustafson_kessel_demo_1.m
M inst/gustafson_kessel_demo_2.m
M inst/xie_beni_index.m
M inst/gustafson_kessel.m
M inst/fcm_demo_1.m
M inst/fcm_demo_2.m
M inst/fcm.m
Modified Paths:
--------------
trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm.m
trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm_demo_1.m
trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm_demo_2.m
trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel.m
trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel_demo_1.m
trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel_demo_2.m
trunk/octave-forge/main/fuzzy-logic-toolkit/inst/xie_beni_index.m
Modified: trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm.m
===================================================================
--- trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm.m 2012-07-09 13:17:11 UTC (rev 10739)
+++ trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm.m 2012-07-10 14:20:04 UTC (rev 10740)
@@ -24,7 +24,9 @@
## @deftypefnx {Function File} {[@var{cluster_centers}, @var{soft_partition}, @var{obj_fcn_history}] =} fcm (@var{input_data}, @var{num_clusters}, @var{options})
## @deftypefnx {Function File} {[@var{cluster_centers}, @var{soft_partition}, @var{obj_fcn_history}] =} fcm (@var{input_data}, @var{num_clusters}, [@var{m}, @var{max_iterations}, @var{epsilon}, @var{display_intermediate_results}])
##
-## Return the soft partition of a set of unlabeled data points.
+## Using the Fuzzy C-Means algorithm, calculate and return the soft partition
+## of a set of unlabeled data points.
+##
## Also, if @var{display_intermediate_results} is true, display intermediate
## results after each iteration.
##
@@ -112,7 +114,7 @@
## Keywords: fuzzy-logic-toolkit fuzzy partition clustering fcm
## Directory: fuzzy-logic-toolkit/inst/
## Filename: fcm.m
-## Last-Modified: 8 July 2012
+## Last-Modified: 10 July 2012
function [cluster_centers, soft_partition, obj_fcn_history] = ...
fcm (input_data, num_clusters, options = [2.0, 100, 1e-5, 1])
Modified: trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm_demo_1.m
===================================================================
--- trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm_demo_1.m 2012-07-09 13:17:11 UTC (rev 10739)
+++ trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm_demo_1.m 2012-07-10 14:20:04 UTC (rev 10740)
@@ -18,8 +18,8 @@
## -*- texinfo -*-
## @deftypefn {Script File} {} fcm_demo_1
-## Use the Fuzzy C-Means algorithm to classify unlabeled data points and
-## evaluate the quality of the resulting clusters.
+## Use the Fuzzy C-Means algorithm to classify a small set of unlabeled
+## data points and evaluate the quality of the resulting clusters.
##
## This demo:
## @itemize @minus
@@ -45,7 +45,7 @@
## Keywords: fuzzy-logic-toolkit fuzzy partition clustering fcm demo
## Directory: fuzzy-logic-toolkit/inst/
## Filename: fcm_demo_1.m
-## Last-Modified: 8 July 2012
+## Last-Modified: 10 July 2012
##------------------------------------------------------------------------------
## Note: The input_data is taken from Chapter 13, Example 17 in
Modified: trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm_demo_2.m
===================================================================
--- trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm_demo_2.m 2012-07-09 13:17:11 UTC (rev 10739)
+++ trunk/octave-forge/main/fuzzy-logic-toolkit/inst/fcm_demo_2.m 2012-07-10 14:20:04 UTC (rev 10740)
@@ -18,8 +18,8 @@
## -*- texinfo -*-
## @deftypefn {Script File} {} fcm_demo_2
-## Use the Fuzzy C-Means algorithm to classify unlabeled data points and
-## evaluate the quality of the resulting clusters.
+## Use the Fuzzy C-Means algorithm to classify three-dimensional unlabeled
+## data points and evaluate the quality of the resulting clusters.
##
## The demo:
## @itemize @minus
@@ -45,7 +45,7 @@
## Keywords: fuzzy-logic-toolkit fuzzy partition clustering fcm demo
## Directory: fuzzy-logic-toolkit/inst/
## Filename: fcm_demo_2.m
-## Last-Modified: 8 July 2012
+## Last-Modified: 10 July 2012
##------------------------------------------------------------------------------
## Note: The input_data was selected to form three areas of different shapes.
Modified: trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel.m
===================================================================
--- trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel.m 2012-07-09 13:17:11 UTC (rev 10739)
+++ trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel.m 2012-07-10 14:20:04 UTC (rev 10740)
@@ -26,7 +26,9 @@
## @deftypefnx {Function File} {[@var{cluster_centers}, @var{soft_partition}, @var{obj_fcn_history}] =} gustafson_kessel (@var{input_data}, @var{num_clusters}, @var{cluster_volume}, @var{options})
## @deftypefnx {Function File} {[@var{cluster_centers}, @var{soft_partition}, @var{obj_fcn_history}] =} gustafson_kessel (@var{input_data}, @var{num_clusters}, @var{cluster_volume}, [@var{m}, @var{max_iterations}, @var{epsilon}, @var{display_intermediate_results}])
##
-## Return the soft partition of a set of unlabeled data points.
+## Using the Gustafson-Kessel algorithm, calculate and return the soft partition
+## of a set of unlabeled data points.
+##
## Also, if @var{display_intermediate_results} is true, display intermediate
## results after each iteration.
##
@@ -117,7 +119,7 @@
## Keywords: fuzzy-logic-toolkit fuzzy partition clustering gustafson_kessel
## Directory: fuzzy-logic-toolkit/inst/
## Filename: gustafson_kessel.m
-## Last-Modified: 8 July 2012
+## Last-Modified: 10 July 2012
function [cluster_centers, soft_partition, obj_fcn_history] = ...
gustafson_kessel (input_data, num_clusters, cluster_volume = [], options = [2.0, 100, 1e-5, 1])
Modified: trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel_demo_1.m
===================================================================
--- trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel_demo_1.m 2012-07-09 13:17:11 UTC (rev 10739)
+++ trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel_demo_1.m 2012-07-10 14:20:04 UTC (rev 10740)
@@ -18,8 +18,8 @@
## -*- texinfo -*-
## @deftypefn {Script File} {} gustafson_kessel_demo_1
-## Use the Gustafson-Kessel algorithm to classify unlabeled data points and
-## evaluate the quality of the resulting clusters.
+## Use the Gustafson-Kessel algorithm to classify a small set of unlabeled
+## data points and evaluate the quality of the resulting clusters.
##
## The demo:
## @itemize @minus
@@ -45,7 +45,7 @@
## Keywords: fuzzy-logic-toolkit fuzzy partition clustering gustafson_kessel demo
## Directory: fuzzy-logic-toolkit/inst/
## Filename: gustafson_kessel_demo_1.m
-## Last-Modified: 8 July 2012
+## Last-Modified: 10 July 2012
##------------------------------------------------------------------------------
## Note: The input_data is taken from Chapter 13, Example 17 in
Modified: trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel_demo_2.m
===================================================================
--- trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel_demo_2.m 2012-07-09 13:17:11 UTC (rev 10739)
+++ trunk/octave-forge/main/fuzzy-logic-toolkit/inst/gustafson_kessel_demo_2.m 2012-07-10 14:20:04 UTC (rev 10740)
@@ -18,8 +18,8 @@
## -*- texinfo -*-
## @deftypefn {Script File} {} gustafson_kessel_demo_2
-## Use the Gustafson-Kessel algorithm to classify unlabeled data points and
-## evaluate the quality of the resulting clusters.
+## Use the Gustafson-Kessel algorithm to classify three-dimensional unlabeled
+## data points and evaluate the quality of the resulting clusters.
##
## The demo:
## @itemize @minus
@@ -45,7 +45,7 @@
## Keywords: fuzzy-logic-toolkit fuzzy partition clustering fcm demo
## Directory: fuzzy-logic-toolkit/inst/
## Filename: gustafson_kessel_demo_2.m
-## Last-Modified: 8 July 2012
+## Last-Modified: 10 July 2012
##------------------------------------------------------------------------------
## Note: The input_data was selected to form three areas of different shapes.
Modified: trunk/octave-forge/main/fuzzy-logic-toolkit/inst/xie_beni_index.m
===================================================================
--- trunk/octave-forge/main/fuzzy-logic-toolkit/inst/xie_beni_index.m 2012-07-09 13:17:11 UTC (rev 10739)
+++ trunk/octave-forge/main/fuzzy-logic-toolkit/inst/xie_beni_index.m 2012-07-10 14:20:04 UTC (rev 10740)
@@ -19,7 +19,7 @@
## -*- texinfo -*-
## @deftypefn {Function File} {@var{vxb} =} xie_beni_index (@var{input_data}, @var{cluster_centers}, @var{soft_partition})
##
-## Return the partition coefficient for a given soft partition.
+## Return the Xie-Beni validity index for a given soft partition.
##
## The arguments to xie_beni_index are:
## @itemize @w
@@ -49,7 +49,7 @@
## Keywords: fuzzy-logic-toolkit fuzzy xie beni index cluster validity
## Directory: fuzzy-logic-toolkit/inst/
## Filename: xie_beni_index.m
-## Last-Modified: 8 July 2012
+## Last-Modified: 10 July 2012
function vxb = xie_beni_index (input_data, cluster_centers, soft_partition)
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