％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％
標簽：
multidimensional
estimation
algorithm
Gaussian
上傳時間：
2013-12-03
上傳用戶：我們的船長
//建立頂級窗口
toplevel = XtVaAppInitialize[&app, "Form", NULL, 0,
&argc, argv, NULL, NULL]
n = 0
XtSetArg[args[n], XmNwidth, 500] n++
XtSetArg[args[n], XmNheight, 500] n++
XtSetValues[toplevel, args, n]
//建立主窗口
form = XmCreateForm[toplevel, "form", NULL, 0]
XtManageChild[form]
//建立菜單條
n = 0
XtSetArg[args[n], XmNtopAttachment, XmATTACH_FORM] n++
XtSetArg[args[n], XmNleftAttachment, XmATTACH_FORM] n++
XtSetArg[args[n], XmNrightAttachment, XmATTACH_FORM] n++
menubar = XmCreateMenuBar[form, "menubar", args, n]
XtManageChild[menubar]
create_menu[menubar]
標簽：
NULL
XtVaAppInitialize
toplevel
Form
上傳時間：
2013-12-19
上傳用戶：亞亞娟娟123
