Said helloto onlinestudentsdidn't checkemail duringentirepresentationfinds amistake inthe slideknowsdifferencebetweencomplete andpartialclusteringAnswered aquestion thepresenteraskedINCORRECTLYAnswered aquestion thepresenteraskedCORRECTLYcan describeand drawthreedifferent typesof clusterscan describethe ideabehind K-meansclusteringGave ausefulexample toexplain aconceptAsked aquestion thepresenterdidn't knowthe answer toBrought thereadingmaterialsto classcan draw thedifferencebetweenhierarchical &partitionalclusteringAsked aquestion thatconfusedeverybodycan givea reasonfor usingclusteringanalysiscan statedifference betweenexclusive,overlapping, andfuzzy clusteringparticipatedin at leastonediscussiondidn'tfallasleep!Asked aquestion thepresenterdidn't knowthe answer toclapped atthe end ofpresentationdidn't usephone duringentirepresentationknows how tochoose thenumber ofclusters in K-meansclusteringAsked afollow upquestionto aquestionReadingmaterialshaveannotationsand highlightsCan namethree basicclusteringalgorithmsSaid helloto onlinestudentsdidn't checkemail duringentirepresentationfinds amistake inthe slideknowsdifferencebetweencomplete andpartialclusteringAnswered aquestion thepresenteraskedINCORRECTLYAnswered aquestion thepresenteraskedCORRECTLYcan describeand drawthreedifferent typesof clusterscan describethe ideabehind K-meansclusteringGave ausefulexample toexplain aconceptAsked aquestion thepresenterdidn't knowthe answer toBrought thereadingmaterialsto classcan draw thedifferencebetweenhierarchical &partitionalclusteringAsked aquestion thatconfusedeverybodycan givea reasonfor usingclusteringanalysiscan statedifference betweenexclusive,overlapping, andfuzzy clusteringparticipatedin at leastonediscussiondidn'tfallasleep!Asked aquestion thepresenterdidn't knowthe answer toclapped atthe end ofpresentationdidn't usephone duringentirepresentationknows how tochoose thenumber ofclusters in K-meansclusteringAsked afollow upquestionto aquestionReadingmaterialshaveannotationsand highlightsCan namethree basicclusteringalgorithms

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