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</o:shapelayout></xml><![endif]--></head><body lang=DE link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Dear yovanda priscilla,<o:p></o:p></span></font></p><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></font></p><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span lang=EN-GB style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>for more details on the Gauss-Markov models, please refer to Section 6.5 of the documentation [1].<o:p></o:p></span></font></p><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span lang=EN-GB style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>If you want to use a mobility model with clusters in the sense of attraction points, you might want to try RandomWaypoint with attraction points (see Section 6.13 in [1]).<o:p></o:p></span></font></p><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span lang=EN-GB style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></font></p><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span lang=EN-GB style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Best regards,<o:p></o:p></span></font></p><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span lang=EN-GB style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Matthias<o:p></o:p></span></font></p><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span lang=EN-GB style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></font></p><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>[1] <a href="https://sys.cs.uos.de/bonnmotion/doc/README.pdf">https://sys.cs.uos.de/bonnmotion/doc/README.pdf</a><o:p></o:p></span></font></p><p class=MsoNormal><font size=2 color="#1f497d" face=Calibri><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></font></p><p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:12.0pt'><o:p> </o:p></span></font></p><p class=MsoNormal><b><font size=2 face=Tahoma><span lang=EN-US style='font-size:10.0pt;font-family:"Tahoma","sans-serif";font-weight:bold'>From:</span></font></b><font size=2 face=Tahoma><span lang=EN-US style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'> bonnmotion-bounces@list.serv.Uni-Osnabrueck.de [mailto:bonnmotion-bounces@list.serv.Uni-Osnabrueck.de] <b><span style='font-weight:bold'>On Behalf Of </span></b>yovanda priscilla<br><b><span style='font-weight:bold'>Sent:</span></b> Mittwoch, 30. Oktober 2019 13:45<br><b><span style='font-weight:bold'>To:</span></b> bonnmotion@list.serv.uni-osnabrueck.de<br><b><span style='font-weight:bold'>Subject:</span></b> [BonnMotion] clustering in gaus-markov models<o:p></o:p></span></font></p><p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:12.0pt'><o:p> </o:p></span></font></p><div><div><p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:12.0pt'>good evening. let me introduce myself. my name is yovanda priscilla and i am from in indonesian. i am interested in bonnmotion and i would love to ask you about bonnmotion. i will be trying to test probability by using gaus-markov. after that, i want to try making some clusters. So i want to ask you is it possible for me to make the clusters? if it is possible, could you share the instruction to me? thank you.<o:p></o:p></span></font></p></div><div><p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:12.0pt'><o:p> </o:p></span></font></p></div><div><p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:12.0pt'>have a nice day :)<o:p></o:p></span></font></p></div></div></div></body></html>