Consider the foliowing covid stats dataframe where DEATH TREND is the class label: total.cases new.cases smoothed...

 

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Consider the foliowing covid stats dataframe where DEATH TREND is the class label: total.cases new.cases smoothed total.cases permilion new_cases.per.million DEATH TREND new.cases cint> <int> <dbl> <dbl> <dbl> <fct> 153 13 9.714 15.470 1.314 DOWN 2. 153 7.857 15.470 0.000 UP 198 45 14.286 20.019 4.550 UP 4. 248 50 21.429 25.075 5.055 UP 5. 333 85 31.429 33.669 8.594 UP 333 27.571 33,669 0.000 UP If we were to run a k-means clustering algorithm for the above covid stats dataframe, how many columns would we use as input? 6 Consider the foliowing covid stats dataframe where DEATH TREND is the class label: total.cases new.cases smoothed total.cases permilion new_cases.per.million DEATH TREND new.cases cint> <int> <dbl> <dbl> <dbl> <fct> 153 13 9.714 15.470 1.314 DOWN 2. 153 7.857 15.470 0.000 UP 198 45 14.286 20.019 4.550 UP 4. 248 50 21.429 25.075 5.055 UP 5. 333 85 31.429 33.669 8.594 UP 333 27.571 33,669 0.000 UP If we were to run a k-means clustering algorithm for the above covid stats dataframe, how many columns would we use as input? 6

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to run K means clustering algorithm here we will need ... View the full answer