Kmeans聚类matlab程序

  • a7_118432
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  • matlab
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  • 2022-02-22 11:36
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用Kmeans聚类方法实现随即点的分类,在二维平面上以均匀分布随机多个点,输入所需聚类数以得到聚类结果。
Kmeans聚类matlab程序
  • Kmeans.m
    1.5KB
  • Kmeans_GUI.fig
    8.3KB
  • Kmeans_GUI.m
    14.6KB
内容介绍
function varargout = Kmeans_GUI(varargin) % KMEANS_GUI MATLAB code for Kmeans_GUI.fig % KMEANS_GUI, by itself, creates a new KMEANS_GUI or raises the existing % singleton*. % % H = KMEANS_GUI returns the handle to a new KMEANS_GUI or the handle to % the existing singleton*. % % KMEANS_GUI('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in KMEANS_GUI.M with the given input arguments. % % KMEANS_GUI('Property','Value',...) creates a new KMEANS_GUI or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before Kmeans_GUI_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to Kmeans_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 % Edit the above text to modify the response to help Kmeans_GUI % Last Modified by GUIDE v2.5 18-May-2011 13:08:47 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @Kmeans_GUI_OpeningFcn, ... 'gui_OutputFcn', @Kmeans_GUI_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 Kmeans_GUI is made visible. function Kmeans_GUI_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no out args, see OutputFcn. % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user datas (see GUIDATA) % varargin command line arguments to Kmeans_GUI (see VARARGIN) % Choose default command line out for Kmeans_GUI handles.out = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes Kmeans_GUI wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = Kmeans_GUI_OutputFcn(hObject, eventdata, handles) % varargout cell array for returning out args (see VARARGOUT); % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user datas (see GUIDATA) % Get default command line out from handles structure varargout{1} = handles.out; function edit1_Callback(hObject, eventdata, handles) % hObject handle to edit1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user datas (see GUIDATA) global N; N=str2num(get(handles.edit1,'string')); % N=str2num(get(h0bject,'String')); if isnan(N) errodlg('You must entry e number value','Bad input','modal'); end % Hints: get(hObject,'String') returns contents of edit1 as text % str2double(get(hObject,'String')) returns contents of edit1 as a double % --- Executes during object creation, after setting all properties. function edit1_CreateFcn(hObject, eventdata, handles) % hObject handle to edit1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows. % See ISPC and COMPUTER. if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white'); end function edit3_Callback(hObject, eventdata, handles) % hObject handle to edit3 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user datas (see GUIDATA) global a; a=str2num(get(handles.edit3,'string')); if isnan(a) errodlg('You must entry e number value','Bad input','modal'); end % Hints: get(hObject,'String') returns contents of edit3 as text % str2double(get(hObject,'String')) returns contents of edit3 as a double % --- Executes during object creation, after setting all properties. function edit3_CreateFcn(hObject, eventdata, handles) % hObject handle to edit3 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows. % See ISPC and COMPUTER. if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white'); end function edit4_Callback(hObject, eventdata, handles) % hObject handle to edit4 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user datas (see GUIDATA) global b; b=str2num(get(handles.edit4,'String')); if isnan(b) errodlg('You must entry e number value','Bad input','modal'); end % Hints: get(hObject,'String') returns contents of edit4 as text % str2double(get(hObject,'String')) returns contents of edit4 as a double % --- Executes during object creation, after setting all properties. function edit4_CreateFcn(hObject, eventdata, handles) % hObject handle to edit4 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows. % See ISPC and COMPUTER. if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white'); end % --- 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 datas (see GUIDATA) global N a b K X; %各类重心 global c_next; c_pre=ones(2,K); c_next=ones(2,K); d=ones(1,K); global Class; Class=cell(K,1); omega=ones(K,N+1); for k=1:K omega(k,1)=1; end % if K>N msgbox('聚类数大于样本数据数,无法聚类!','Bad input','modal'); return; end %初始化中心点 for k=1:K c_pre(:,k)=X(:,k); omega(k,2)=k; end while 1 clear omega Class; for k=1:K omega(k,1)=1; end %逐个利用每个样本修改中心点 %将其归入与其最近的中心点所在的类 for t=1:N for k=1:K d(k)=(X(:,t)-c_pre(:,k))'*(X(:,t)-c_pre(:,k)); end j=find(d==min(d)); omega(j,1)=omega(j,1)+1; omega(j,omega(j,1))=t; end %计算每个类中的点 for k=1:K Class{k}=ones(2,omega(k,1)-1); for j=2:1:omega(k,1) Class{k}(:,j-1)=X(:,omega(k,j)); end end %重新计算该类的重心 for k=1:K c_next(:,k)=mean(Class{k}'); end %当前后两次计算的中心点的差别很小时,停止分类 if sum(diag((c_next-c_pre)'*(c_next-c_pre)))<1e-5 break; end c_pre=c_next; end str=''; for k=1:K str1=strcat('聚类',num2str(k)); str2=strcat('聚类中心坐标为:(',num2str(c_next(1,k)),',',num2str(c_next(2,k)),')'); str3=strcat('聚类点坐标'); str=strvcat(str,str1,str2,str3); A=Class{k}; str=strvcat(str,num2str(A')); end
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