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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Calcutta
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20200701T134346Z
UID:083CA8C5-02ED-498B-B5C5-65766D2138C8
DTSTART;TZID=Asia/Calcutta:20200701T140000
DTEND;TZID=Asia/Calcutta:20200701T160000
DESCRIPTION:The speaker has started the discussion with the introduction of
  the topic\nMahine Learing and explained different Machine Learning algori
 thms.\n Then\, the topic-”UnSupervised Learning” was explained sayi
 ng that it\nwas a method dealt with the data without any specific labels.\
 n Major clustering approaches like Partitioning approach\, Hierarchieal
 \napproach and Density based approach were discussed and methods to\nimple
 ment those approaches were also stated.\n Different Clustering Applicat
 ions in practical scenario were also\ndiscussed and this kind of practical
  approach seems very intersting to the\nparticipants.\n\nSpeaker(s): Y. Pa
 dma Sai\, \n\nAgenda: \nThe lecture was aimed at making the participants u
 nderstand the method of\nUnsupervised learning which involves the process 
 of clustering. With the idea\nof this clustering\, one can detect the patt
 erns of data without any labels.\n\nHyderabad\, Andhra Pradesh\, India
LOCATION:Hyderabad\, Andhra Pradesh\, India
ORGANIZER:tharunkumar@ieee.org
SEQUENCE:1
SUMMARY:Lecture on &quot;Clustering&quot;
URL;VALUE=URI:https://events.vtools.ieee.org/m/234481
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The speaker has started the discussion wit
 h the introduction of the topic&lt;br /&gt;Mahine Learing and explained differen
 t Machine Learning algorithms.&lt;br /&gt; Then\, the topic-&amp;rdquo\;UnSupervi
 sed Learning&amp;rdquo\; was explained saying that it&lt;br /&gt;was a method dealt 
 with the data without any specific labels.&lt;br /&gt; Major clustering appro
 aches like Partitioning approach\, Hierarchieal&lt;br /&gt;approach and Density 
 based approach were discussed and methods to&lt;br /&gt;implement those approach
 es were also stated.&lt;br /&gt; Different Clustering Applications in practic
 al scenario were also&lt;br /&gt;discussed and this kind of practical approach s
 eems very intersting to the&lt;br /&gt;participants.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br 
 /&gt;&lt;p&gt;The lecture was aimed at making the participants understand the metho
 d of&lt;br /&gt;Unsupervised learning which involves the process of clustering. 
 With the idea&lt;br /&gt;of this clustering\, one can detect the patterns of dat
 a without any labels.&lt;/p&gt;
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