def run(self):
self.auiframe.lastpoints = processtool.generate_clusteredpoints(self.auiframe.dataFilePath, self.auiframe.clusterType, self.auiframe.datafileMultiplyIndex, self.auiframe.iterationRecords)
dc = wx.ClientDC(self.auiframe.backgroundPanel)
dc.SetPen(wx.Pen("RED"))
dc.SetBrush(wx.Brush("RED"))
for point in self.auiframe.lastpoints:
colortype = point.type if point.type != cluster.DBSCAN_NOISETYPE else -1
if self.auiframe.datafileMultiplyIndex == 1:
colortype = point.type if point.type<=9 else -1
dc.SetPen(wx.Pen(colors[colortype]))
dc.SetBrush(wx.Brush(colors[colortype]))
dc.DrawCircle(point.coordinates[0]*multiplyBy[self.auiframe.datafileMultiplyIndex], \
backgroundHeight-point.coordinates[1]*multiplyBy[self.auiframe.datafileMultiplyIndex], pointSize[self.auiframe.datafileMultiplyIndex])
self.auiframe.iterationNum = -1
self.auiframe.helpStaticText2.SetLabelText('Iteration times : '+str(len(self.auiframe.iterationRecords)-1)+'\nNow: '+str(len(self.auiframe.iterationRecords)-1))
self.ano.Destroy()
def dbscanTest():
points = processtool.generate_clusteredpoints("./Aggregation.txt", "dbscan")
print len(points)
