There are some cases where it is difficult or impossible to define the parameters of a class of data to be analyzed. In these cases, _____________ methods can be used to create partitions so that all members of each set are similar according to some metric or set of metrics thus creating a set of objects grouped together by virtue of their similarity or proximity to each other.
A) association
B) linkage analysis
C) sequencing
D) clustering

Question

Quizplus · Accepted Answer

Clustering methods are used to create partitions in a dataset when it's difficult to define parameters, grouping objects based on their similarity or proximity to each other.

There Are Some Cases Where It Is Difficult or Impossible