Which of the following data mining techniques would be applied when trying to identify any underlying heterogeneity within housing patterns in a community?
A) Class description
B) Class discrimination
C) Cluster analysis
D) Association analysis

Question

Quizplus · Accepted Answer

Cluster analysis is the most appropriate data mining technique when trying to identify any underlying heterogeneity within housing patterns in a community. It involves grouping together similar observations or cases based on their characteristics or attributes. The goal is to identify distinct subgroups or clusters of observations that share common properties or features. This can help identify patterns and relationships that may be difficult to detect using other techniques. Class description and class discrimination are more suited to identifying differences between known groups or classes, while association analysis is used to identify patterns of co-occurrence or association between different variables.

Which of the Following Data Mining Techniques Would Be Applied