quadratic_pca.m

具有图形操作界面的支持向量机多类分类实验系统.全部用Matlab实现,可以实现多种分类识别. 这是本人的毕业设计的附属程序

function varargout = Quadratic_Pca(varargin)
%      QUADRATIC_PCA M-file for Quadratic_Pca.fig
%      QUADRATIC_PCA, by itself, creates a new QUADRATIC_PCA or raises the existing
%      singleton*.
%
%      H = QUADRATIC_PCA returns the handle to a new QUADRATIC_PCA or the handle to
%      the existing singleton*.
%
%      QUADRATIC_PCA('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in QUADRATIC_PCA.M with the given input arguments.
%
%      QUADRATIC_PCA('Property','Value',...) creates a new QUADRATIC_PCA or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before E_Quadratic_Pca_GUI_OpeningFunction gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to E_Quadratic_Pca_GUI_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Copyright 2002-2003 The MathWorks, Inc.

% Edit the above text to modify the response to help E_Quadratic_Pca_GUI

% Last Modified by GUIDE v2.5 14-Aug-2005 21:46:51

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @Quadratic_Pca_OpeningFcn, ...
                   'gui_OutputFcn',  @Quadratic_Pca_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin && ischar(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end

if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT


% --- Executes just before E_Quadratic_Pca_GUI is made visible.
function Quadratic_Pca_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to E_Quadratic_Pca_GUI (see VARARGIN)

% Choose default command line output for E_Quadratic_Pca_GUI
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes E_Quadratic_Pca_GUI wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = Quadratic_Pca_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure
varargout{1} = handles.output;


% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
input_data = load('vltava');
% map data to the feature space
map_data = qmap(input_data);
% train linear rule in the feature sapce
lin_model = perceptron(map_data);
% compute parameters of the quadratic classifier
quad_model = lin2quad(lin_model);
% visualize the quadratic classifier
axes(handles.axes1);cla;
ppatterns(input_data);
axes(handles.axes2);cla;
pboundary(quad_model);
axes(handles.axes3);cla;
ppatterns(input_data);
pboundary(quad_model);



% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
X = gsamp([5;5],[1 0.8;0.8 1],100); % generate data
model = pca(X,1); % train PCA
Z = linproj(X,model); % lower dim. proj.
XR = pcarec(X,model); % reconstr. data
axes(handles.axes4);cla;
h1 = ppatterns(X,'kx');
axes(handles.axes5);cla;
h2 = ppatterns(XR,'bo');
[dummy,mn] = min(Z);
[dummy,mx] = max(Z);
axes(handles.axes6);cla;
h1 = ppatterns(X,'kx');
h2 = ppatterns(XR,'bo');

%h3 = plot([XR(1,mn) XR(1,mx)],[XR(2,mn) XR(2,mx)],'r');
%legend([h1 h2 h3], ...
%'Input vectors','Reconstructed', 'PCA subspace');

% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
axes(handles.axes1);cla;
axes(handles.axes2);cla;
axes(handles.axes3);cla;
axes(handles.axes4);cla;
axes(handles.axes5);cla;
axes(handles.axes6);cla;


% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

close(gcf);