is a collection of techniques that seek to group or segment a collection of objects or observations into subsets, such that those within each subset are more closely related to one another than objects assigned to different subsets.
A) Association rule mining
B) Discriminant analysis
C) Cluster analysis
D) Logistic regression
Correct Answer:
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Q1: Divisive clustering method is different from agglomerative
Q3: In the method, the distance between groups
Q4: U-botit.com is an electronic commerce company that
Q5: The effectiveness of a classification rule can
Q6: Which of the following formulas calculates
Q7: The data mining approach called involves the
Q8: Which of the following features of classification,
Q9: Which of the following data sets provides
Q10: Which of the following is a definition
Q11: Which of the following is true of
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