K-means.rar_K means matlab_K 聚类_K均值聚类算法_k均值聚类_向量 聚类

// CSort.cpp : 定义应用程序的类行为。 // #include "stdafx.h" #include "CSort.h" #include "MainFrm.h" #include "IO.H" #include "CSortDoc.h" #include "CSortView.h" #include ".\csort.h" #include <vector> #include <algorithm> #include <functional> #include <math.h> #include <shlwapi.h> #import "c:\Program Files\Common Files\system\ado\Msado15.dll" rename("EOF","adoEOF") rename("DataTypeEnum","adoDataTypeEnum") #import "c:\Program Files\Common Files\System\ADO\Msadox.dll" rename("EOF", "adoXEOF") rename("DataTypeEnum","adoXDataTypeEnum") #import "c:\PROGRAM FILES\COMMON FILES\System\ado\MSJRO.DLL" #ifdef _DEBUG #define new DEBUG_NEW #endif #define Maxmim 200 // CCSortApp BEGIN_MESSAGE_MAP(CCSortApp, CWinApp) ON_COMMAND(ID_APP_ABOUT, OnAppAbout) // 基于文件的标准文档命令 ON_COMMAND(ID_FILE_NEW, CWinApp::OnFileNew) ON_COMMAND(ID_FILE_OPEN, CWinApp::OnFileOpen) // 标准打印设置命令 ON_COMMAND(ID_FILE_PRINT_SETUP, CWinApp::OnFilePrintSetup) ON_COMMAND(ID_32771, OnSort) END_MESSAGE_MAP() // CCSortApp 构造 CCSortApp::CCSortApp() { // TODO: 在此处添加构造代码， // 将所有重要的初始化放置在 InitInstance 中 m_nClassNumber=3; num=0; Hang=Lie=0; } // 唯一的一个 CCSortApp 对象 CCSortApp theApp; // CCSortApp 初始化 BOOL CCSortApp::InitInstance() { // 如果一个运行在 Windows XP 上的应用程序清单指定要 // 使用 ComCtl32.dll 版本 6 或更高版本来启用可视化方式， //则需要 InitCommonControls()。否则，将无法创建窗口。 InitCommonControls(); CWinApp::InitInstance(); // 初始化 OLE 库 if (!AfxOleInit()) { AfxMessageBox(IDP_OLE_INIT_FAILED); return FALSE; } AfxEnableControlContainer(); // 标准初始化 // 如果未使用这些功能并希望减小 // 最终可执行文件的大小，则应移除下列 // 不需要的特定初始化例程 // 更改用于存储设置的注册表项 // TODO: 应适当修改该字符串， // 例如修改为公司或组织名 SetRegistryKey(_T("应用程序向导生成的本地应用程序")); LoadStdProfileSettings(4); // 加载标准 INI 文件选项(包括 MRU) // 注册应用程序的文档模板。文档模板 // 将用作文档、框架窗口和视图之间的连接 CSingleDocTemplate* pDocTemplate; pDocTemplate = new CSingleDocTemplate( IDR_MAINFRAME, RUNTIME_CLASS(CCSortDoc), RUNTIME_CLASS(CMainFrame), // 主 SDI 框架窗口 RUNTIME_CLASS(CCSortView)); if (!pDocTemplate) return FALSE; AddDocTemplate(pDocTemplate); // 分析标准外壳命令、DDE、打开文件操作的命令行 CCommandLineInfo cmdInfo; ParseCommandLine(cmdInfo); // 调度在命令行中指定的命令。如果 // 用 /RegServer、/Register、/Unregserver 或 /Unregister 启动应用程序，则返回 FALSE。 if (!ProcessShellCommand(cmdInfo)) return FALSE; // 唯一的一个窗口已初始化，因此显示它并对其进行更新 m_pMainWnd->ShowWindow(SW_SHOW); m_pMainWnd->UpdateWindow(); // 仅当存在后缀时才调用 DragAcceptFiles， // 在 SDI 应用程序中，这应在 ProcessShellCommand 之后发生 return TRUE; } // 用于应用程序“关于”菜单项的 CAboutDlg 对话框 class CAboutDlg : public CDialog { public: CAboutDlg(); // 对话框数据 enum { IDD = IDD_ABOUTBOX }; protected: virtual void DoDataExchange(CDataExchange* pDX); // DDX/DDV 支持 // 实现 protected: DECLARE_MESSAGE_MAP() }; CAboutDlg::CAboutDlg() : CDialog(CAboutDlg::IDD) { } void CAboutDlg::DoDataExchange(CDataExchange* pDX) { CDialog::DoDataExchange(pDX); } BEGIN_MESSAGE_MAP(CAboutDlg, CDialog) END_MESSAGE_MAP() // 用于运行对话框的应用程序命令 void CCSortApp::OnAppAbout() { CAboutDlg aboutDlg; aboutDlg.DoModal(); } // CCSortApp 消息处理程序 void CCSortApp::OnSort() { // TODO: 在此添加命令处理程序代码 //图像库中图像的基本特征 double ene_mean ,ene_var ; double ent_mean ,ent_var ; double con_mean ,con_var ; double cor_mean ,cor_var ; double idm_mean ,idm_var ; double mean ,var; int i=0; //定义打开mdb的变量 _ConnectionPtr tempConnnMDB; _RecordsetPtr pRecordset; CString strConnectMDB; _bstr_t bstrSQL; bstrSQL = "select * from ImageInfo"; int m_RecordCount; ::CoInitialize(NULL); CString strPath; strPath="e:/555_sub.mdb"; //链接数据库mdb try{ strConnectMDB.Format(_T("Provider=Microsoft.Jet.OLEDB.4.0;Data Source=%s"),strPath); tempConnnMDB.CreateInstance("ADODB.Connection"); tempConnnMDB->Open(_bstr_t(strConnectMDB),"","",adModeUnknown); pRecordset.CreateInstance(_uuidof(Recordset)); pRecordset->Open((_variant_t)bstrSQL,tempConnnMDB.GetInterfacePtr(), adOpenDynamic,adLockOptimistic, adCmdText); pRecordset->MoveFirst(); //m_RecordCount=pRecordset->RecordCount; //求纪录数 } catch(_com_error e) { AfxMessageBox("数据库打开有错误！"); } //////为了聚类结果显示得清楚 NameLie[0]="ene_mean"; NameLie[1]="ene_var"; NameLie[2]="ent_mean"; NameLie[3]="ent_var"; NameLie[4]="con_mean"; NameLie[5]="con_var"; NameLie[6]="cor_mean"; NameLie[7]="cor_var"; NameLie[8]="idm_mean"; NameLie[9]="idm_var"; NameLie[10]="mean"; NameLie[11]="var"; //////////////////读取mdb表 while(!pRecordset->adoEOF) { //m_ID=pRecordset->GetCollect("ID"); ene_mean =(double)pRecordset->GetCollect("ene_mean"); ene_var = (double)pRecordset->GetCollect("ene_var"); ent_mean =(double)pRecordset->GetCollect("ent_mean"); ent_var =(double)pRecordset->GetCollect("ent_var"); con_mean =(double)pRecordset->GetCollect("con_mean"); con_var = (double)pRecordset->GetCollect("con_var"); cor_mean = (double)pRecordset->GetCollect("cor_mean"); cor_var = (double)pRecordset->GetCollect("cor_var"); idm_mean =(double)pRecordset->GetCollect("idm_mean"); idm_var = (double)pRecordset->GetCollect("idm_var"); mean = (double)pRecordset->GetCollect("mean"); var =(double)pRecordset->GetCollect("var"); num++; Lie=0; Number[Lie++][Hang]=ene_mean; Number[Lie++][Hang]=ene_var; Number[Lie++][Hang]=ent_mean; Number[Lie++][Hang]=ent_var; Number[Lie++][Hang]=con_mean; Number[Lie++][Hang]=con_var; Number[Lie++][Hang]=cor_mean; Number[Lie++][Hang]=cor_var; Number[Lie++][Hang]=idm_mean; Number[Lie++][Hang]=idm_var; Number[Lie++][Hang]=mean; Number[Lie++][Hang]=var; Hang++; pRecordset->MoveNext(); } i=0; Cluster(); //聚类 } ////////////////////////////////////////////////////////////////////////////////////////////////// //function name :ClusterNormalize //description :to normalize the feature void CCSortApp::ClusterNormalize() { int i,j; /*OldCenter = new double *[Maxmim]; NewCenter = new double *[Maxmim]; for(i=0; i<Maxmim; i++) { OldCenter[i] = new double[m_nClassNumber]; NewCenter[i] = new double[m_nClassNumber]; }*/ /*//归一化 double max_ene_mean_0,max_ene_var_0,max_ent_mean_0,max_ent_var_0,min_ene_mean_0,min_ene_var_0,min_ent_mean_0,min_ent_var_0; double max_con_mean_0,max_con_var_0,min_con_mean_0,min_con_var_0; double max_cor_mean_0,max_cor_var_0,min_cor_mean_0,min_cor_var_0; double max_idm_mean_0,max_idm_var_0,min_idm_mean_0,min_idm_var_0; double max_mean_0,max_var_0,min_mean_0,min_var_0; max_ene_mean_0=ID_number[0].ene_mean_0,min_ene_mean_0=ID_number[0].ene_mean_0; max_ene_var_0=ID_number[0].ene_var_0,min_ene_var_0=ID_number[0].ene_var_0; max_ent_mean_0=ID_number[0].ent_mean_0,min_ent_mean_0=ID_number[0].ent_mean_0; max_ent_var_0=ID_number[0].ent_var_0,min_ent_var_0=ID_number[0].ent_var_0; max_con_mean_0=ID_number[0].con_mean_0,min_con_mean_0=ID_number[0].con_mean_0; max_con_var_0=ID_number[0].con_var_0,min_con_mean_0=ID_number[0].con_var_0; max_cor_mean_0=ID_number[0].cor_mean_0,,min_cor_mean_0=ID_number[0].cor_mean_0; max_cor_var_0=ID_number[0].cor_var_0,min_cor_var_0=ID_number[0].cor_var_0; max_idm_mean_0=ID_number[0].idm_mean_0,min_idm_mean_0=ID_number[0].idm_mean_0; max_idm_var_0=ID_number[0].idm_var_0,min_idm_var_0=ID_number[0].idm_var_0; max_mean_0=ID_number[0].mean_0,min_mean_0=ID_number[0].mean_0;