can statedifference betweenexclusive,overlapping, andfuzzy clusteringcan describeand drawthreedifferent typesof clustersdidn't usephone duringentirepresentationAsked aquestion thepresenterdidn't knowthe answer toReadingmaterialshaveannotationsand highlightsAnswered aquestion thepresenteraskedCORRECTLYclapped atthe end ofpresentationAsked afollow upquestionto aquestionGave ausefulexample toexplain aconceptfinds amistake inthe slideknows how tochoose thenumber ofclusters in K-meansclusteringCan namethree basicclusteringalgorithmsdidn't checkemail duringentirepresentationSaid helloto onlinestudentscan describethe ideabehind K-meansclusteringcan draw thedifferencebetweenhierarchical &partitionalclusteringknowsdifferencebetweencomplete andpartialclusteringAnswered aquestion thepresenteraskedINCORRECTLYAsked aquestion thatconfusedeverybodycan givea reasonfor usingclusteringanalysisBrought thereadingmaterialsto classdidn'tfallasleep!Asked aquestion thepresenterdidn't knowthe answer toparticipatedin at leastonediscussioncan statedifference betweenexclusive,overlapping, andfuzzy clusteringcan describeand drawthreedifferent typesof clustersdidn't usephone duringentirepresentationAsked aquestion thepresenterdidn't knowthe answer toReadingmaterialshaveannotationsand highlightsAnswered aquestion thepresenteraskedCORRECTLYclapped atthe end ofpresentationAsked afollow upquestionto aquestionGave ausefulexample toexplain aconceptfinds amistake inthe slideknows how tochoose thenumber ofclusters in K-meansclusteringCan namethree basicclusteringalgorithmsdidn't checkemail duringentirepresentationSaid helloto onlinestudentscan describethe ideabehind K-meansclusteringcan draw thedifferencebetweenhierarchical &partitionalclusteringknowsdifferencebetweencomplete andpartialclusteringAnswered aquestion thepresenteraskedINCORRECTLYAsked aquestion thatconfusedeverybodycan givea reasonfor usingclusteringanalysisBrought thereadingmaterialsto classdidn'tfallasleep!Asked aquestion thepresenterdidn't knowthe answer toparticipatedin at leastonediscussion

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