Answered aquestion thepresenteraskedCORRECTLYSaid helloto onlinestudentsdidn't usephone duringentirepresentationknowsdifferencebetweencomplete andpartialclusteringdidn't checkemail duringentirepresentationcan describeand drawthreedifferent typesof clustersCan namethree basicclusteringalgorithmsparticipatedin at leastonediscussioncan givea reasonfor usingclusteringanalysisGave ausefulexample toexplain aconceptAnswered aquestion thepresenteraskedINCORRECTLYcan draw thedifferencebetweenhierarchical &partitionalclusteringclapped atthe end ofpresentationAsked aquestion thepresenterdidn't knowthe answer toAsked aquestion thatconfusedeverybodyAsked aquestion thepresenterdidn't knowthe answer tofinds amistake inthe slidecan statedifference betweenexclusive,overlapping, andfuzzy clusteringdidn'tfallasleep!Asked afollow upquestionto aquestionknows how tochoose thenumber ofclusters in K-meansclusteringReadingmaterialshaveannotationsand highlightsBrought thereadingmaterialsto classcan describethe ideabehind K-meansclusteringAnswered aquestion thepresenteraskedCORRECTLYSaid helloto onlinestudentsdidn't usephone duringentirepresentationknowsdifferencebetweencomplete andpartialclusteringdidn't checkemail duringentirepresentationcan describeand drawthreedifferent typesof clustersCan namethree basicclusteringalgorithmsparticipatedin at leastonediscussioncan givea reasonfor usingclusteringanalysisGave ausefulexample toexplain aconceptAnswered aquestion thepresenteraskedINCORRECTLYcan draw thedifferencebetweenhierarchical &partitionalclusteringclapped atthe end ofpresentationAsked aquestion thepresenterdidn't knowthe answer toAsked aquestion thatconfusedeverybodyAsked aquestion thepresenterdidn't knowthe answer tofinds amistake inthe slidecan statedifference betweenexclusive,overlapping, andfuzzy clusteringdidn'tfallasleep!Asked afollow upquestionto aquestionknows how tochoose thenumber ofclusters in K-meansclusteringReadingmaterialshaveannotationsand highlightsBrought thereadingmaterialsto classcan describethe ideabehind K-meansclustering

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