www.gusucode.com > 模糊控制工具箱 fuzzy logic toolbox源码程序 > fuzzy/fuzdemos/fcmdemo.m
function fcmdemo(action)
%FCMDEMO Fuzzy c-means clustering demo (2-D).
% FCMDEMO displays a GUI window to let you try out various parameters
% in fuzzy c-means clustering for 2-D data. You can choose the data set
% and clustering number from the GUI buttons at right, and then click
% "Start" to start the fuzzy clustering process.
%
% Once the clustering is done, you can select one of the clusters by
% mouse and view the MF surface by clicking the "MF Plot" button.
% (Note that "MF Plot" is slow because MATLAB is using the command
% "griddata" to do interpolation among all data points.) To get a
% better viewing angle, click and drag inside the figure to rotate the
% MF surface.
%
% If you choose to use a customized data set, it must be 2-D data.
% Moreover, the data set is normalized to within the unit cube
% [0,1] X [0,1] before being clustered.
%
% File name: fcmdemo.m
%
% See also DISTFCM, INITFCM, IRISFCM, STEPFCM, FCM.
% J.-S. Roger Jang, 12-12-94.
% Copyright 1994-2004 The MathWorks, Inc.
% $Revision: 1.16.2.4.2.1 $ $Date: 2005/07/17 06:05:53 $
global FcmFigH FcmFigTitle FcmAxisH FcmCenter FcmU OldDataID
if nargin == 0,
action = 'initialize';
end
if strcmp(action, 'initialize'),
FcmFigTitle = '2-D Fuzzy C-Means Clustering';
FcmFigH = findobj(0, 'Name', FcmFigTitle);
if isempty(FcmFigH)
eval([mfilename, '(''set_gui'')']);
% ====== change to normalized units
set(findobj(FcmFigH,'Units','pixels'),'Units','normal');
% ====== make all UI interruptible
set(findobj(FcmFigH,'Interrupt','off'),'Interrupt','on');
else
% set(FcmFigH, 'color', get(FcmFigH, 'color'));
refresh(FcmFigH);
end
elseif strcmp(action, 'set_gui'), % set figure, axes and gui's
% ====== setting figure
FcmFigH = figure('Name', FcmFigTitle, 'NumberTitle', 'off','DockControls','off','Resize','off');
bck_color = get(FcmFigH, 'Color');
set(FcmFigH,'units','character');
figPos_ch = get(FcmFigH,'pos');
if figPos_ch(4) < 40
figPos_ch(4) = 40;
end
set(FcmFigH, 'pos', figPos_ch);
set(FcmFigH,'units','pixels');
figPos = get(FcmFigH, 'position');
figPos(3) = figPos(4) * 1.45;
set(FcmFigH,'pos',figPos);
centerfig(FcmFigH);
border = 15;
axes_pos = [border,border,figPos(4)-2*border,figPos(4)-2*border];
FcmAxisH = axes('unit', 'pix', 'pos', axes_pos, 'box', 'on', 'Color', [0,0,0]);
axis([0 1 0 1]);
axis square;
set(FcmAxisH, 'xtick', [], 'ytick', []);
txt1_txt = 'Fuzzy c-means (FCM) is a data clustering technique which assigns each data point in the dataset a degree of membership to each cluster.';
mftxt_txt = sprintf('%s\n%s','Select a cluster and', 'click on the button below.');
sborder = 5;
uip1_pos = zeros(1,4);
uip1_pos(1) = axes_pos(3) + 2*border;
uip1_pos(3) = figPos(3)-(axes_pos(3) + 3*border);
uip1_pos(4) = round(figPos(4)/figPos_ch(4) * round(3 + 1.5*(length(txt1_txt) / ((figPos_ch(3)/figPos(3)) * uip1_pos(3)) )) ); % inv_ratio * len_of_line / ratio * width_available
uip1_pos(2) = figPos(4) - (uip1_pos(4) + border);
uip1 = uipanel('Parent', FcmFigH, 'units', 'pixels', 'pos', uip1_pos, 'Title', {'About FCM'}, 'FontWeight','bold', 'backgroundColor', bck_color, 'Tag', 'uipanel1');
uip2_pos = zeros(1,4);
uip2_pos(1) = uip1_pos(1);
uip2_pos(3) = uip1_pos(3);
uip2_pos(4) = round(figPos(4)/figPos_ch(4) * 19);
uip2_pos(2) = figPos(4) - (uip2_pos(4) + uip1_pos(4) + border + sborder);
uip2 = uipanel('Parent', FcmFigH, 'units', 'pixels', 'pos', uip2_pos, 'Title', {'FCM Settings'}, 'FontWeight','bold', 'backgroundcolor', bck_color, 'Tag', 'uipanel2');
uip3_pos = zeros(1,4);
uip3_pos(1) = uip1_pos(1);
uip3_pos(3) = uip1_pos(3);
uip3_pos(4) = round(figPos(4)/figPos_ch(4) * 8);
uip3_pos(2) = figPos(4) - (uip3_pos(4) + uip1_pos(4) + uip2_pos(4) + border + 2*sborder);
uip3 = uipanel('Parent', FcmFigH, 'units', 'pixels', 'pos', uip3_pos, 'Title', {'Plot Membership Functions'}, 'FontWeight','bold', 'backgroundcolor', bck_color, 'Tag', 'uipanel3');
set(uip1, 'units', 'character')
set(uip2, 'units', 'character')
set(uip3, 'units', 'character')
uip1_posch = get(uip1, 'pos');
uip2_posch = get(uip2, 'pos');
uip3_posch = get(uip3, 'pos');
morebut_pos = [uip1_posch(3)-12,0.5,10,1.5];
txt1_pos = [1.5,morebut_pos(4)+1,uip1_posch(3)-3,uip1_posch(4)-morebut_pos(4)-3];
morebut = uicontrol('Parent',uip1,'Style','push',...
'units','character','String','More...','Position',morebut_pos, ...
'Backgroundcolor', bck_color, 'Tag', 'morebutton', 'HorizontalAlignment', 'center');%, 'ForegroundColor', [0,0,1], 'FontWeight','bold');
uicontrol('Parent',uip1,'Style','Text','units','character',...
'String',txt1_txt,'Position',txt1_pos, 'Backgroundcolor', bck_color,...
'HorizontalAlignment','left','Tag', 'abouttext');
startbut_pos = [uip2_posch(3)/3,1,uip2_posch(3)/3,1.5];
improvtxt_pos = [1,startbut_pos(2)+startbut_pos(4)+2.5,length('Min. Improvement')+2,1];
improvedit_pos = [improvtxt_pos(1)+improvtxt_pos(3)+0.1,improvtxt_pos(2)-0.25,uip2_posch(3)-improvtxt_pos(3)-0.1-3,improvtxt_pos(4)+0.5];
itertxt_pos = [1,improvtxt_pos(2)+improvtxt_pos(4)+1,improvtxt_pos(3),1];
iteredit_pos = [itertxt_pos(1)+itertxt_pos(3)+0.1,itertxt_pos(2)-0.25,uip2_posch(3)-itertxt_pos(3)-0.1-3,itertxt_pos(4)+0.5];
exptxt_pos = [1,itertxt_pos(2)+itertxt_pos(4)+1,improvtxt_pos(3),1];
expedit_pos = [exptxt_pos(1)+exptxt_pos(3)+0.1,exptxt_pos(2)-0.25,uip2_posch(3)-exptxt_pos(3)-0.1-3,exptxt_pos(4)+0.5];
clustpmnu_pos = [1,exptxt_pos(2)+exptxt_pos(4)+1,uip2_posch(3)-2.75,1.5];
clusttxt_pos = [1,clustpmnu_pos(2)+clustpmnu_pos(4),clustpmnu_pos(3),1];
datasetpmnu_pos = [1,clusttxt_pos(2)+clusttxt_pos(4)+1,clustpmnu_pos(3),1.5];
datasettxt_pos = [1,datasetpmnu_pos(2)+datasetpmnu_pos(4),datasetpmnu_pos(3),1];
datasettxt_txt = 'Choose a sample dataset';
clusttxt_txt = 'How many clusters do you want?';
improvtxt_txt = 'Min. Improvement';
itertxt_txt = 'Max. Iterations';
exptxt_txt = 'Exponent';
uicontrol('Parent',uip2,'Style','Text','units','character',...
'String',datasettxt_txt,'Position',datasettxt_pos, 'Backgroundcolor', bck_color,...
'HorizontalAlignment','left','Tag', 'datasettxt');
datasetpmnu = uicontrol('Parent',uip2,'Style','popupmenu','units','character',...
'Position',datasetpmnu_pos,'string','Data Set 1|Data Set 2|Data Set 3|Data Set 4|Data Set 5|Custom ...',...
'HorizontalAlignment','left','BackgroundColor',[1,1,1],'Tag', 'data_set');
uicontrol('Parent',uip2,'Style','text','units','character',...
'Position',clusttxt_pos, 'string', clusttxt_txt, 'Backgroundcolor', bck_color,...
'HorizontalAlignment','left','Tag', 'clusttxt');
clustpmnu = uicontrol('Parent',uip2,'Style','popupmenu','units','character',...
'Position',clustpmnu_pos, 'string', '2 Clusters|3 Clusters|4 Clusters|5 Clusters|6 Clusters|7 Clusters|8 Clusters|9 Clusters|10 Clusters',...
'HorizontalAlignment','left','BackgroundColor',[1,1,1],'Tag', 'cluster_menu');
expedit = uicontrol('Parent',uip2,'Style','edit','units','character',...
'Position',expedit_pos,'Backgroundcolor', [1,1,1],...
'HorizontalAlignment','center','Tag', 'datasettxt');
uicontrol('Parent',uip2,'Style','Text','units','character',...
'String',exptxt_txt,'Position',exptxt_pos,'Backgroundcolor', bck_color,...
'HorizontalAlignment','left','Tag', 'datasettxt');
iteredit = uicontrol('Parent',uip2,'Style','edit','units','character',...
'Position',iteredit_pos,'Backgroundcolor', [1,1,1],...
'HorizontalAlignment','center','Tag', 'datasettxt');
uicontrol('Parent',uip2,'Style','Text','units','character',...
'String',itertxt_txt,'Position',itertxt_pos,'Backgroundcolor', bck_color,...
'HorizontalAlignment','left','Tag', 'datasettxt');
improvedit = uicontrol('Parent',uip2,'Style','edit','units','character',...
'Position',improvedit_pos,'Backgroundcolor', [1,1,1],...
'HorizontalAlignment','center','Tag', 'datasettxt');
uicontrol('Parent',uip2,'Style','Text','units','character',...
'String',improvtxt_txt,'Position',improvtxt_pos,'Backgroundcolor', bck_color,...
'HorizontalAlignment','left','Tag', 'datasettxt');
startbut = uicontrol('Parent',uip2,'Style','pushbutton','units','character',...
'String', 'START', 'Position',startbut_pos, 'Backgroundcolor', bck_color,...
'FontWeight', 'bold', 'HorizontalAlignment','left','Tag', 'clustpmnu');
mfplot_pos = [uip3_posch(3)/3,1,uip3_posch(3)/3,1.5];
mftext_pos = [2,mfplot_pos(4)+1,uip3_posch(3)-4,uip3_posch(4)-mfplot_pos(4)-3];
uicontrol('Parent',uip3,'Style','Text','units','character',...
'String',mftxt_txt,'Position',mftext_pos, 'Backgroundcolor', bck_color,...
'HorizontalAlignment','center','Tag', 'mftext');
mfplot = uicontrol('Parent',uip3,'Style','pushbutton',...
'units','character','String','Plot MF','Position',mfplot_pos, ...
'Backgroundcolor', bck_color, 'Tag', 'plotbutton');
% ============ data set
set(datasetpmnu, 'callback', ...
[mfilename, '(''get_data''); ', mfilename, '(''init_U''); ', mfilename, '(''label_data0''); ', mfilename, '(''display_data'');']);
set(datasetpmnu, 'tag', 'data_set');
% ============ cluster number
set(clustpmnu, 'callback', [mfilename, '(''cluster_number'');']);
set(clustpmnu, 'tag', 'cluster_number');
% ============ clear center
set(mfplot, 'tag', 'mf_plot');
set(mfplot, 'callback', [mfilename, '(''mf_plot'')']);
% ============ start & stop
set(startbut, 'tag', 'start');
set(startbut, 'callback', [mfilename, '(''start_stop'')']);
% ============ exponential
set(expedit, 'string', '2', 'tag', 'exponent', 'callback', [mfilename, '(''exponent'')']);
% ============ max iteration
set(iteredit,'string', '100','tag', 'max_iter');
% ============ epsilson
set(improvedit, 'string', '1e-5', 'tag', 'min_impro');
% ============ info
set(morebut, 'tag', 'info', 'callback', [mfilename, '(''info'')']);
% creating invisible UI items so that the old code works
uicontrol('Parent',uip3,'Style','radio','units','character',...
'Visible','off', 'Position',mftext_pos,...
'value', 1, 'Tag', 'label_data');
uicontrol('Parent',uip3,'Style','push','units','character',...
'Visible','off', 'Position',mftext_pos,...
'Tag', 'clear_traj');
% setting initial values for GUI.
% ============ initial settings for data set
OldDataID = 2;
set(findobj(FcmFigH, 'tag', 'data_set'), 'value', OldDataID);
% ============ initial settings for cluster number
set(findobj(FcmFigH, 'tag', 'cluster_number'), 'value', 2);
% ============ initial settings for exponent
exponent = 2.0;
set(findobj(FcmFigH, 'tag', 'exponent'), 'string', num2str(exponent));
% ============ initial settings for max_iter
max_iter = 100;
set(findobj(FcmFigH, 'tag', 'max_iter'), 'string', num2str(max_iter));
% ============ initial settings for min_impro
min_impro = 1e-5;
set(findobj(FcmFigH, 'tag', 'min_impro'), 'string', num2str(min_impro));
% ============ GUI initial operations
eval([mfilename, '(''get_data'')']);
eval([mfilename, '(''init_U'')']);
eval([mfilename, '(''label_data0'')']);
eval([mfilename, '(''display_data'')']);
eval([mfilename, '(''set_mouse_action'')']);
% ============ set user data
uiH = [datasetpmnu, clustpmnu, 0, 0, mfplot, startbut, 0, 0, 0, morebut, 0];
set(FcmFigH, 'userdata', uiH);
elseif strcmp(action, 'start_stop'),
eval([mfilename, '(''clear_traj'')']);
if ~isempty(findobj(FcmFigH, 'string', 'START')),
eval([mfilename, '(''start_clustering'')']);
else % stop clustering
set(findobj(FcmFigH, 'tag', 'start'), 'string', 'START');
end
elseif strcmp(action, 'start_clustering'),
% === set some buttons to be uninterruptible
% The following does not work
%set(findobj(FcmFigH, 'tag', 'data_set'), 'interrupt', 'no');
%set(findobj(FcmFigH, 'tag', 'cluster_number'), 'interrupt', 'no');
%set(findobj(FcmFigH, 'tag', 'clear_traj'), 'interrupt', 'no');
%set(findobj(FcmFigH, 'tag', 'mf_plot'), 'interrupt', 'no');
%set(findobj(FcmFigH, 'tag', 'exponent'), 'interrupt', 'no');
%set(findobj(FcmFigH, 'tag', 'max_iter'), 'interrupt', 'no');
%set(findobj(FcmFigH, 'tag', 'min_impro'), 'interrupt', 'no');
set(findobj(FcmFigH, 'tag', 'data_set'), 'enable', 'off');
set(findobj(FcmFigH, 'tag', 'cluster_number'), 'enable', 'off');
set(findobj(FcmFigH, 'tag', 'clear_traj'), 'enable', 'off');
set(findobj(FcmFigH, 'tag', 'mf_plot'), 'enable', 'off');
set(findobj(FcmFigH, 'tag', 'exponent'), 'enable', 'off');
set(findobj(FcmFigH, 'tag', 'max_iter'), 'enable', 'off');
set(findobj(FcmFigH, 'tag', 'min_impro'), 'enable', 'off');
set(findobj(FcmFigH, 'string', 'Expo.:'), 'enable', 'off');
set(findobj(FcmFigH, 'string', 'Iterat.:'), 'enable', 'off');
set(findobj(FcmFigH, 'string', 'Improv.:'), 'enable', 'off');
% === change label of start
set(findobj(FcmFigH, 'tag', 'start'), 'string', 'Stop');
% === delete selectH
delete(findobj(FcmFigH, 'tag', 'selectH'));
set(findobj(FcmFigH, 'tag', 'mf_plot'), 'userdata', []);
% === find some clustering parameters
expo = str2double(get(findobj(FcmFigH, 'tag', 'exponent'), 'string'));
cluster_n = get(findobj(FcmFigH, 'tag', 'cluster_number'), 'value')+1;
max_iter = str2double(get(findobj( ...
FcmFigH, 'tag', 'max_iter'), 'string'));
min_eps = str2double(get(findobj( ...
FcmFigH, 'tag', 'min_impro'), 'string'));
dataplotH = get(findobj(FcmFigH, 'tag', 'data_set'), 'userdata');
data = get(dataplotH, 'userdata');
data_n = size(data, 1);
% === initial partition
FcmU = initfcm(cluster_n, data_n);
% === find initial centers
[FcmU, FcmCenter] = stepfcm(data, FcmU, cluster_n, expo);
center_prev = FcmCenter;
U_prev = FcmU;
% === Graphic handles for traj and head
headH = line(ones(2,1)*FcmCenter(:,1)', ones(2,1)*FcmCenter(:,2)',...
'erase', 'none', 'LineStyle', 'none', 'Marker', '.', ...
'markersize', 30, 'tag', 'headH');
trajH = line(zeros(2,cluster_n), zeros(2,cluster_n), ...
'erase', 'none', 'linewidth', 3, ...
'tag', 'trajH');
% === array for objective function
err = zeros(max_iter, 1);
for i = 1:max_iter,
[FcmU, FcmCenter, err(i)] = stepfcm( ...
data, U_prev, cluster_n, expo);
%fprintf('Iteration count = %d, obj. fcn = %f\n', i, err(i));
% === label each data if necessary
eval([mfilename, '(''label_data'')']);
% === check ternimation invoked from GUI
if findobj(FcmFigH, 'string', 'START')
break;
end
tempusdt=get(findobj(FcmFigH, 'string', 'Close'), 'userdata');
if ~isempty(tempusdt)&(tempusdt == 1),
break;
end
% === check normal termination condition
if i > 1,
if abs(err(i) - err(i-1)) < min_eps, break; end,
end
% if max(max(U_prev - FcmU)) < min_eps, break; end,
% === refresh centers for animation
for j = 1:cluster_n,
set(headH(j), 'xdata', FcmCenter(j, 1), 'ydata', FcmCenter(j, 2));
set(trajH(j), 'xdata', [center_prev(j, 1) FcmCenter(j, 1)], ...
'ydata', [center_prev(j, 2) FcmCenter(j, 2)]);
end
drawnow;
center_prev = FcmCenter;
U_prev = FcmU;
end
% === change the button label
tempusdt=get(findobj(FcmFigH, 'string', 'Close'), 'userdata');
if ~isempty(tempusdt)&tempusdt== 1,
delete(FcmFigH);
else
% change to 'Start'
set(findobj(FcmFigH, 'tag', 'start'), 'string', 'START');
% make everything interruptible
%set(findobj(FcmFigH,'Interrupt','no'),'Interrupt','yes');
set(findobj(FcmFigH,'enable','off'),'enable','on');
end
elseif strcmp(action, 'label_data0'), % initialize labelH
cluster_n = get(findobj(FcmFigH, 'tag', 'cluster_number'), 'value')+1;
dataplotH = get(findobj(FcmFigH, 'tag', 'data_set'), 'userdata');
data = get(dataplotH, 'userdata');
data_n = size(data, 1);
label_data = get(findobj(FcmFigH, 'tag', 'label_data'), 'value');
maxU = max(FcmU);
x=[];
y=[];
for i = 1:cluster_n,
index = find(FcmU(i, :) == maxU);
cluster = data(index', :);
if isempty(cluster), cluster = [nan nan]; end
x = fstrvcat(x, cluster(:, 1)');
y = fstrvcat(y, cluster(:, 2)');
end
x(find(x==0)) = nan*find(x==0); % get rid of padded zeros
y(find(y==0)) = nan*find(y==0); % get rid of padded zeros
labelH = line(x', y', 'LineStyle', 'none', 'Marker', 'o', 'visible', 'off');
set(labelH, 'erase', 'none');
set(findobj(FcmFigH, 'tag', 'label_data'), 'userdata', labelH);
elseif strcmp(action, 'label_data'),
cluster_n = get(findobj(FcmFigH, 'tag', 'cluster_number'), 'value')+1;
dataplotH = get(findobj(FcmFigH, 'tag', 'data_set'), 'userdata');
data = get(dataplotH, 'userdata');
labelH = get(findobj(FcmFigH, 'tag', 'label_data'), 'userdata');
label_data = get(findobj(FcmFigH, 'tag', 'label_data'), 'value');
if label_data ~= 0,
set(dataplotH, 'visible', 'off');
maxU = max(FcmU);
for i = 1:cluster_n,
index = find(FcmU(i, :) == maxU);
cluster = data(index', :);
if isempty(cluster), cluster = [nan nan]; end
set(labelH(i), 'xdata', cluster(:, 1), ...
'ydata', cluster(:, 2));
end
set(labelH, 'visible', 'on');
else
set(dataplotH, 'visible', 'on');
set(labelH, 'visible', 'off');
end
elseif strcmp(action, 'get_data'),
getDataH = findobj(FcmFigH, 'tag', 'data_set');
dataID = get(getDataH, 'value');
no_change = 0;
if dataID == 1,
data_n = 400;
data = rand(data_n, 2);
% === cluster 1
dist1 = distfcm([0.2 0.2], data);
index1 = (dist1 < 0.15)';
% === cluster 2
dist2 = distfcm([0.7 0.7], data);
index2 = (dist2 < 0.25)';
% === cluster 3
index3 = data(:,1) - data(:, 2) - 0.1 < 0;
index4 = data(:,1) - data(:, 2) + 0.1 > 0;
index5 = data(:,1) + data(:, 2) - 0.4 > 0;
index6 = data(:,1) + data(:, 2) - 1.4 < 0;
% === final data
data(find((index1|index2|(index3&index4&index5&index6)) ...
== 0), :) = [];
elseif dataID == 2,
data_n = 100;
% === cluster 1
c1 = [0.6 0.2]; radius1 = 0.2;
data1 = randn(data_n, 2)/10 + ones(data_n, 1)*c1;
% === cluster 2
c2 = [0.2 0.6]; radius2 = 0.2;
data2 = randn(data_n, 2)/10 + ones(data_n, 1)*c2;
% === cluster 3
c3 = [0.8 0.8]; radius3 = 0.2;
data3 = randn(data_n, 2)/10 + ones(data_n, 1)*c3;
% === final data
data = [data1; data2; data3];
index = (min(data')>0) & (max(data')<1);
data(find(index == 0), :) = [];
elseif dataID == 3,
data_n = 100;
k = 10;
c1 = [0.125 0.25];
data1 = randn(data_n, 2)/k + ones(data_n, 1)*c1;
c2 = [0.625 0.25];
data2 = randn(data_n, 2)/k + ones(data_n, 1)*c2;
c3 = [0.375 0.75];
data3 = randn(data_n, 2)/k + ones(data_n, 1)*c3;
c4 = [0.875 0.75];
data4 = randn(data_n, 2)/k + ones(data_n, 1)*c4;
data = [data1; data2; data3; data4];
index = (min(data')>0) & (max(data')<1);
data(find(index == 0), :) = [];
elseif dataID == 4,
data_n = 100;
% === cluster 1
c1 = [0.2 0.2];
data1 = randn(data_n, 2)/15 + ones(data_n, 1)*c1;
% === cluster 2
c2 = [0.2 0.5];
data2 = randn(data_n, 2)/15 + ones(data_n, 1)*c2;
% === cluster 3
c2 = [0.2 0.8];
data3 = randn(data_n, 2)/15 + ones(data_n, 1)*c2;
% === cluster 4
c3 = [0.8 0.5];
data4 = randn(data_n, 2)/10 + ones(data_n, 1)*c3;
% === final data
data = [data1; data2; data3; data4];
index = (min(data')>0) & (max(data')<1);
data(find(index == 0), :) = [];
elseif dataID == 5,
data_n = 300;
data = rand(data_n, 2);
elseif dataID == 6, % Customized data set
data_file = uigetfile('*.dat');
if data_file==0, %data_file == 0 | data_file == '', % cancelled
no_change = 1;
else % loading data
eval([mfilename, '(''clear_traj'')']);
eval(['load ' data_file]);
tmp = find(data_file=='.');
if tmp == [], % data file has no extension.
eval(['data=' data_file ';']);
else
eval(['data=' data_file(1:tmp-1) ';']);
end
if size(data, 2) ~= 2,
fprintf('Given data is not 2-D!\n');
no_change = 1;
end
end
else
error('Selected data not found!');
end
if no_change,
set(getDataH, 'value', OldDataID);
else
% normalize data set
maxx = max(data(:,1)); minx = min(data(:,1));
data(:,1) = (data(:,1)-minx)/(maxx-minx);
maxy = max(data(:,2)); miny = min(data(:,2));
data(:,2) = (data(:,2)-miny)/(maxy-miny);
% process data
OldDataID = dataID;
delete(get(FcmAxisH, 'child'));
% set(FcmFigH, 'color', get(FcmFigH, 'color'));
refresh(FcmFigH);
dataplotH = line(data(:, 1), data(:, 2), 'color', 'g', ...
'LineStyle', 'none', 'Marker', 'o', 'visible', 'off', ...
'clipping', 'off');
set(dataplotH, 'userdata', data);
set(getDataH, 'userdata', dataplotH);
end
elseif strcmp(action, 'init_U'),
cluster_n = get(findobj(FcmFigH, 'tag', 'cluster_number'), ...
'value')+1;
dataplotH = get(findobj(FcmFigH, 'tag', 'data_set'), 'userdata');
data = get(dataplotH, 'userdata');
data_n = size(data, 1);
FcmU = initfcm(cluster_n, data_n);
elseif strcmp(action, 'display_data'),
label_data = get(findobj(FcmFigH, 'tag', 'label_data'), 'value');
dataplotH = get(findobj(FcmFigH, 'tag', 'data_set'), 'userdata');
labelH = get(findobj(FcmFigH, 'tag', 'label_data'), 'userdata');
if label_data == 0,
set(dataplotH, 'visible', 'on');
set(labelH, 'visible', 'off');
else
set(dataplotH, 'visible', 'off');
set(labelH, 'visible', 'on');
end
elseif strcmp(action, 'cluster_number'),
eval([mfilename, '(''init_U'')']);
delete(get(findobj(FcmFigH, 'tag', 'label_data'), 'userdata'));
delete(findobj(FcmFigH, 'tag', 'headH'));
delete(findobj(FcmFigH, 'tag', 'trajH'));
delete(findobj(FcmFigH, 'tag', 'selectH'));
FcmCenter = [];
set(findobj(FcmFigH, 'tag', 'mf_plot'), 'userdata', []);
eval([mfilename, '(''label_data0'')']);
eval([mfilename, '(''display_data'')']);
elseif strcmp(action, 'clear_traj'),
if ~isempty(findobj(FcmFigH, 'string', 'START')),
% set(FcmFigH, 'color', get(FcmFigH, 'color'));
refresh(FcmFigH);
delete(findobj(FcmFigH, 'tag', 'trajH'));
end
elseif strcmp(action, 'clear_all'),
if ~isempty(findobj(FcmFigH, 'string', 'START')),
% set(FcmFigH, 'color', get(FcmFigH, 'color'));
refresh(FcmFigH);
delete(findobj(FcmFigH, 'tag', 'headH'));
end
elseif strcmp(action, 'close'),
set(findobj(FcmFigH, 'string', 'Close'), 'userdata', 1);
if ~isempty(findobj(FcmFigH, 'string', 'START')),
delete(FcmFigH);
end
elseif strcmp(action, 'mf_plot'),
old_pointer = get(FcmFigH, 'pointer');
set(FcmFigH, 'pointer', 'watch');
% looping till mouse action is done
which_cluster = get(findobj(FcmFigH, 'tag', 'mf_plot'), 'userdata');
if isempty(which_cluster),
fprintf('Use mouse to select a cluster first.\n');
else
title = ['MF Plot for Cluster ', int2str(which_cluster)];
MfFigH = findobj(0, 'Name', title);
if isempty(MfFigH), % create a new MF plot
dataplotH = get(findobj(FcmFigH, 'tag', 'data_set'), 'userdata');
data = get(dataplotH, 'userdata');
tmp = FcmU';
% use griddata to do surface plot
fprintf('Using "griddata" to plot MF surface ...\n');
[XI, YI] = meshgrid(0:0.1:1, 0:0.1:1);
ZI = griddata(data(:,1), data(:, 2), tmp(:, which_cluster), XI, YI);
% Create a new figure window
pos = get(0, 'defaultfigurepos');
pos(3) = pos(3)*0.75; pos(4) = pos(4)*0.75;
MfFigH = figure('Name', title, ...
'NumberTitle', 'off', 'position', pos, 'DockControls','off');
% V4 color default
colordef(MfFigH, 'black');
mesh(XI, YI, ZI);
xlabel('X'), ylabel('Y'), zlabel('MF');
axis([0 1 0 1 0 1]); set(gca, 'box', 'on');
rotate3d on;
set(MfFigH, 'HandleVisibility', 'callback');
end
set(0, 'Currentfigure', MfFigH);
end
set(FcmFigH, 'pointer', old_pointer);
elseif strcmp(action, 'set_mouse_action'),
% action when button is first pushed down
action1 = [mfilename '(''mouse_action1'')'];
% actions after the mouse is pushed down
action2 = ' ';
% action when button is released
action3 = ' ';
% temporary storage for the recall in the down_action
set(gca,'UserData',action2);
% set action when the mouse is pushed down
down_action=[ ...
'set(gcf,''WindowButtonMotionFcn'',get(gca,''UserData''));' ...
action1];
set(gcf,'WindowButtonDownFcn',down_action);
% set action when the mouse is released
up_action=[ ...
'set(gcf,''WindowButtonMotionFcn'','' '');', action3];
set(gcf,'WindowButtonUpFcn',up_action);
elseif strcmp(action, 'mouse_action1'),
curr_info = get(gca, 'CurrentPoint');
CurrPt = [curr_info(1, 1) curr_info(1,2)];
if ~isempty(FcmCenter),
[junk, which_cluster] = min(distfcm(CurrPt, FcmCenter));
set(findobj(gcf, 'tag', 'mf_plot'), 'userdata', which_cluster);
delete(findobj(gcf, 'tag', 'selectH'));
selectH = line(FcmCenter(which_cluster, 1), FcmCenter(which_cluster, 2), ...
'tag', 'selectH', 'LineStyle', 'none', 'Marker', 'o', 'markersize', 30);
end
elseif strcmp(action, 'exponent'),
expo = str2double(get(findobj(FcmFigH, 'tag', 'exponent'), 'string'));
if expo <= 1,
fprintf('The exponent for MF''s should be greater than 1!\n');
set(findobj(FcmFigH, 'tag', 'exponent'), 'string', num2str(1.01));
end
elseif strcmp(action, 'info'),
helpview([matlabroot '\toolbox\fuzzy\fuzdemos\html\fcmdemo_codepad.html'])
% title = '2-D Fuzzy C-means Clustering';
% help_string = ...
% [' You are seeing fuzzy C-means clustering '
% ' when the data sets are 2-dimensional. You can '
% ' choose the data set and clustering number from '
% ' the GUI buttons at right, and then click '
% ' "Start" to start the fuzzy clustering process. '
% ' '
% ' Once the clustering is done, you can select '
% ' one of the clusters by mouse and view the MF '
% ' surface by clicking the "MF Plot" button. '
% ' '
% ' If you choose to use a customized data set, '
% ' it must be 2-D data. Moreover, the data set '
% ' is normalized to within the unit cube '
% ' [0,1] X [0,1] before being clustered. '
% ' '
% ' File name: fcmdemo.m '];
% fhelpfun(title, help_string);
else
fprintf('Given string is "%s".\n', action);
error('Unrecognized action string!');
end