Which approach to data analytics attempts to divide individuals into groups in a useful or meaningful way?
A) Clustering
B) Data reduction
C) Similarity matching
D) Co-occurrence grouping

Question

Quizplus · Accepted Answer

Clustering is an approach to data analytics that attempts to divide individuals into groups in a useful or meaningful way. It involves the use of algorithms to identify patterns and similarities within data, which are then used to group individuals together based on shared characteristics or behaviors. This approach can be useful in a variety of applications, such as customer segmentation, marketing, and healthcare. Data reduction involves reducing the amount of data by selecting a subset of relevant variables, similarity matching involves finding similarities between individuals or objects based on shared characteristics, and co-occurrence grouping involves identifying patterns of behavior or occurrences. While these approaches may be useful in some contexts, clustering is specifically designed to group individuals in a meaningful way.

Which Approach to Data Analytics Attempts to Divide Individuals into Groups