Cluster analysis tries to group observations into clusters so that observations within a cluster a different and observations in different clusters are similar.
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Q1: Megan is examining the likelihood of people
Q2: When using data partitioning,the second subset,which usually
Q4: The K in K-Means refers to the
Q5: A data mart is typically smaller than
Q6: A neural network methodology attempts to mimic
A)the
Q7: Segmentation is also known as clustering,and involves
Q8: Which of the following statements about logistic
Q9: Mya is investigating the factors that impact
Q10: Clustering is considered a supervised data mining
Q11: Lift is the increase in the number
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