Asked aquestion thepresenterdidn't knowthe answer todidn't checkemail duringentirepresentationcan draw thedifferencebetweenhierarchical &partitionalclusteringfinds amistake inthe slideSaid helloto onlinestudentscan statedifference betweenexclusive,overlapping, andfuzzy clusteringGave ausefulexample toexplain aconceptknowsdifferencebetweencomplete andpartialclusteringAnswered aquestion thepresenteraskedINCORRECTLYcan describethe ideabehind K-meansclusteringAsked aquestion thatconfusedeverybodyCan namethree basicclusteringalgorithmsknows how tochoose thenumber ofclusters in K-meansclusteringReadingmaterialshaveannotationsand highlightscan givea reasonfor usingclusteringanalysisparticipatedin at leastonediscussionclapped atthe end ofpresentationAsked afollow upquestionto aquestiondidn't usephone duringentirepresentationdidn'tfallasleep!Answered aquestion thepresenteraskedCORRECTLYcan describeand drawthreedifferent typesof clustersAsked aquestion thepresenterdidn't knowthe answer toBrought thereadingmaterialsto classAsked aquestion thepresenterdidn't knowthe answer todidn't checkemail duringentirepresentationcan draw thedifferencebetweenhierarchical &partitionalclusteringfinds amistake inthe slideSaid helloto onlinestudentscan statedifference betweenexclusive,overlapping, andfuzzy clusteringGave ausefulexample toexplain aconceptknowsdifferencebetweencomplete andpartialclusteringAnswered aquestion thepresenteraskedINCORRECTLYcan describethe ideabehind K-meansclusteringAsked aquestion thatconfusedeverybodyCan namethree basicclusteringalgorithmsknows how tochoose thenumber ofclusters in K-meansclusteringReadingmaterialshaveannotationsand highlightscan givea reasonfor usingclusteringanalysisparticipatedin at leastonediscussionclapped atthe end ofpresentationAsked afollow upquestionto aquestiondidn't usephone duringentirepresentationdidn'tfallasleep!Answered aquestion thepresenteraskedCORRECTLYcan describeand drawthreedifferent typesof clustersAsked aquestion thepresenterdidn't knowthe answer toBrought thereadingmaterialsto class

Clustering and Community Detection - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Asked a question the presenter didn't know the answer to
  2. didn't check email during entire presentation
  3. can draw the difference between hierarchical & partitional clustering
  4. finds a mistake in the slide
  5. Said hello to online students
  6. can state difference between exclusive, overlapping, and fuzzy clustering
  7. Gave a useful example to explain a concept
  8. knows difference between complete and partial clustering
  9. Answered a question the presenter asked INCORRECTLY
  10. can describe the idea behind K-means clustering
  11. Asked a question that confused everybody
  12. Can name three basic clustering algorithms
  13. knows how to choose the number of clusters in K-means clustering
  14. Reading materials have annotations and highlights
  15. can give a reason for using clustering analysis
  16. participated in at least one discussion
  17. clapped at the end of presentation
  18. Asked a follow up question to a question
  19. didn't use phone during entire presentation
  20. didn't fall asleep!
  21. Answered a question the presenter asked CORRECTLY
  22. can describe and draw three different types of clusters
  23. Asked a question the presenter didn't know the answer to
  24. Brought the reading materials to class