What is the technique used to divide information sets into mutually exclusive groups such that the members of each group are as
close together as possible to one another and the different groups are as far apart as possible? 1. Statical detection
2. Cluster analysis
3. Association detection
4. None of these.
The correct answer to the following question will be Option 2 (Cluster analysis).
Explanation:
The process of sorting a collection of items in such a manner that objects within the same category are much more identical than objects in many other clusters, known as Cluster analysis.
The goal of this analysis would be to create similar groups of topics where "commonality" means a global metric across the entire set of characteristics between each pair of subjects.
The other options, Option 1 and Option 3 would not be able to create common motifs, such groups. Therefore, the correct answer is Option 2.
