Can namethree basicclusteringalgorithmsAnswered aquestion thepresenteraskedINCORRECTLYcan describethe ideabehind K-meansclusteringcan describeand drawthreedifferent typesof clustersSaid helloto onlinestudentsdidn'tfallasleep!can givea reasonfor usingclusteringanalysisGave ausefulexample toexplain aconceptAnswered aquestion thepresenteraskedCORRECTLYAsked aquestion thepresenterdidn't knowthe answer toReadingmaterialshaveannotationsand highlightsBrought thereadingmaterialsto classknows how tochoose thenumber ofclusters in K-meansclusteringAsked aquestion thepresenterdidn't knowthe answer tocan statedifference betweenexclusive,overlapping, andfuzzy clusteringfinds amistake inthe slidecan draw thedifferencebetweenhierarchical &partitionalclusteringdidn't usephone duringentirepresentationparticipatedin at leastonediscussionAsked aquestion thatconfusedeverybodyknowsdifferencebetweencomplete andpartialclusteringdidn't checkemail duringentirepresentationclapped atthe end ofpresentationAsked afollow upquestionto aquestionCan namethree basicclusteringalgorithmsAnswered aquestion thepresenteraskedINCORRECTLYcan describethe ideabehind K-meansclusteringcan describeand drawthreedifferent typesof clustersSaid helloto onlinestudentsdidn'tfallasleep!can givea reasonfor usingclusteringanalysisGave ausefulexample toexplain aconceptAnswered aquestion thepresenteraskedCORRECTLYAsked aquestion thepresenterdidn't knowthe answer toReadingmaterialshaveannotationsand highlightsBrought thereadingmaterialsto classknows how tochoose thenumber ofclusters in K-meansclusteringAsked aquestion thepresenterdidn't knowthe answer tocan statedifference betweenexclusive,overlapping, andfuzzy clusteringfinds amistake inthe slidecan draw thedifferencebetweenhierarchical &partitionalclusteringdidn't usephone duringentirepresentationparticipatedin at leastonediscussionAsked aquestion thatconfusedeverybodyknowsdifferencebetweencomplete andpartialclusteringdidn't checkemail duringentirepresentationclapped atthe end ofpresentationAsked afollow upquestionto aquestion

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