/// <summary>
/// 分类方法选择事件，控制非监督分类参数配置面板显示的方法参数
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void unsuperviseMethod_radioGroup_SelectedIndexChanged(object sender, EventArgs e)
{
int index = this.unsuperviseMethod_radioGroup.SelectedIndex;
switch (index)
{
case 0:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.IsoData;
break;
case 1:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.KMeans;
break;
}
}
/// <summary>
/// 分类方法选择事件，控制监督分类参数配置面板显示的方法参数
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void superviseMethod_radioGroup_SelectedIndexChanged(object sender, EventArgs e)
{
int index = this.superviseMethod_radioGroup.SelectedIndex;
switch (index)
{
case 0:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.Parallelepiped;
break;
case 1:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.MinimumDistance;
break;
case 2:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.MahalanobisDistance;
break;
case 3:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.MaximumLikelihood;
break;
case 4:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.MaximumLikelihood;
break;
case 5:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.SpectralAngleMapper;
break;
case 6:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.SpectralInformationDivergence;
break;
case 7:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.BinaryEncoding;
break;
case 8:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.NeuralNet;
break;
case 9:
m_selectedMethod = ClassifyAlgBase.ClassifyMethod.SupportVectrorMachine;
break;
}
}
/// <summary>
/// 动态加载所选择的分类方法参数设置窗口
/// </summary>
/// <param name="classifyMethod"></param>
private void initClassParamSettingPage(ClassifyAlgBase.ClassifyMethod classifyMethod)
{
disposeAllClassifyForm();
switch (classifyMethod)
{
case ClassifyAlgBase.ClassifyMethod.Parallelepiped:
parallepipedForm = new ParallelepipedClassify();
m_formList.Add(parallepipedForm);
buildFormIntoParent(parallepipedForm, this.supervise_splitContainerControl.Panel2);
break;
case ClassifyAlgBase.ClassifyMethod.MinimumDistance:
miniDisForm = new MinimumDistanceClassify();
m_formList.Add(miniDisForm);
buildFormIntoParent(miniDisForm, this.supervise_splitContainerControl.Panel2);
break;
case ClassifyAlgBase.ClassifyMethod.MahalanobisDistance:
mahForm = new MahlanobisDistanceClassify();
m_formList.Add(mahForm);
buildFormIntoParent(mahForm, this.supervise_splitContainerControl.Panel2);
break;
case ClassifyAlgBase.ClassifyMethod.MaximumLikelihood:
maxLikeForm = new MaximumLikelihoodClassify();
m_formList.Add(maxLikeForm);
buildFormIntoParent(maxLikeForm, this.supervise_splitContainerControl.Panel2);
break;
case ClassifyAlgBase.ClassifyMethod.SpectralAngleMapper:
samForm = new SamClassify();
m_formList.Add(samForm);
buildFormIntoParent(samForm, this.supervise_splitContainerControl.Panel2);
break;
case ClassifyAlgBase.ClassifyMethod.SpectralInformationDivergence:
sidForm = new SidClassify();
m_formList.Add(sidForm);
buildFormIntoParent(sidForm, this.supervise_splitContainerControl.Panel2);
break;
case ClassifyAlgBase.ClassifyMethod.BinaryEncoding:
binEncodForm = new BinaryEncodingClassify();
m_formList.Add(binEncodForm);
buildFormIntoParent(binEncodForm, this.supervise_splitContainerControl.Panel2);
break;
case ClassifyAlgBase.ClassifyMethod.NeuralNet:
annForm = new ANNClassify();
m_formList.Add(annForm);
buildFormIntoParent(annForm, this.supervise_splitContainerControl.Panel2);
break;
case ClassifyAlgBase.ClassifyMethod.SupportVectrorMachine:
svmForm = new SvmClassify();
m_formList.Add(svmForm);
buildFormIntoParent(svmForm, this.supervise_splitContainerControl.Panel2);
break;
case ClassifyAlgBase.ClassifyMethod.IsoData:
isodataForm = new IsoDataClassify();
m_formList.Add(isodataForm);
buildFormIntoParent(isodataForm, this.unsupervise_xtraTabPage);
break;
case ClassifyAlgBase.ClassifyMethod.KMeans:
kmeansForm = new KmeansClassify();
m_formList.Add(kmeansForm);
buildFormIntoParent(kmeansForm, this.unsupervise_xtraTabPage);
break;
case ClassifyAlgBase.ClassifyMethod.None:
default:
break;
}
}
/// <summary>
/// 用于控制面板的翻页
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void tabPageControl_windowsUIButtonPanel_ButtonClick(object sender, DevExpress.XtraBars.Docking2010.ButtonEventArgs e)
{
DevExpress.XtraEditors.ButtonPanel.IBaseButton preBtn = this.tabPageControl_windowsUIButtonPanel.Buttons[0];
DevExpress.XtraEditors.ButtonPanel.IBaseButton nextBtn = this.tabPageControl_windowsUIButtonPanel.Buttons[1];
if (e.Button == preBtn &&
this.classfication_backstageViewControl.SelectedTabIndex != 0)
{
this.classfication_backstageViewControl.SelectedTabIndex -= 1;
}
else if (e.Button == nextBtn)
{
int currentTabIndex = this.classfication_backstageViewControl.SelectedTabIndex;
switch (currentTabIndex)
{
case 0: // Select Method面板
if (supervise_checkEdit.Checked == false && unsupervise_checkEdit.Checked == false)
{
MessageBox.Show("Please select a method.");
return;
}
else
{
if (supervise_checkEdit.Checked == true)
{
this.m_selectedMethod = (ClassifyAlgBase.ClassifyMethod)(superviseMethod_radioGroup.SelectedIndex + 1);
}
else if (unsupervise_checkEdit.Checked == true)
{
this.m_selectedMethod = (ClassifyAlgBase.ClassifyMethod)(unsuperviseMethod_radioGroup.SelectedIndex + 1 + 9);
}
if (preBtn.Properties.Enabled == false)
{
preBtn.Properties.Enabled = true;
}
initClassParamSettingPage(m_selectedMethod);
turnNextTabPage();
}
break;
case 1: // Set Parameters面板
turnNextTabPage();
break;
case 2: // Export Data面板
string inputPath = "";
string outputPath = "";
if (singleMode_checkEdit.Checked == true)
{
if (inDataFile_btn.Text == "")
{
MessageBox.Show("Please enter the input file."); return;
}
if (outDataFile_btn.Text == "")
{
MessageBox.Show("Please enter the output file."); return;
}
inputPath = this.inDataFile_btn.Text;
outputPath = this.outDataFile_btn.Text;
}
else if (batchMode_checkEdit.Checked == true)
{
if (inDataFolder_btn.Text == "")
{
MessageBox.Show("Please enter the input file folder."); return;
}
if (outDataFolder_btn.Text == "")
{
MessageBox.Show("Please enter the output file folder."); return;
}
inputPath = inDataFolder_btn.Text;
outputPath = outDataFolder_btn.Text;
}
// 设置Run面板中的初始化参数
this.class_method_textEdit.Text = ClassifyAlgBase.getMethodString(this.m_selectedMethod);
this.class_inputfile_textEdit.Text = inputPath;
this.class_outputfile_textEdit.Text = outputPath;
turnNextTabPage();
break;
case 3: // Run面板
if (m_processIsDone == false)
{
return;
}
turnNextTabPage();
break;
case 4: // Finish面板
break;
default:
break;
}
}
}
