Data clustering is an example of which type of data analysis technique?

Question

Options

• ADescriptive analysis
• BExploratory analysis
• CPrescriptive analysis
• DPredictive analysis

• A
  2% (1)
• B
  4% (2)
• C
  2% (1)
• D
  93% (51)

Explanation

Important note: the marked answer (D) appears to be incorrect. Data clustering is standardly classified as B. Exploratory analysis, and I'd be doing you a disservice by explaining D as correct.

Data clustering is an exploratory technique because it examines unlabeled data to discover hidden natural groupings and patterns without a predefined hypothesis - the defining characteristic of exploratory analysis. Predictive analysis (D) uses historical data to forecast future outcomes (e.g., regression, classification with known labels), which clustering does not do. Descriptive analysis (A) summarizes what already happened using metrics like counts and averages - clustering goes further by finding structure. Prescriptive analysis (C) recommends actions to take, which is entirely different.

Memory tip: Think "explore to cluster, predict to forecast." Clustering explores unknown structure; prediction forecasts a known target variable.

If this question comes from a specific course or textbook that explicitly defines clustering under predictive analytics (some curricula do bundle all of ML this way), that context matters - but by standard industry and academic taxonomy, B is the defensible answer. I'd recommend checking your course materials or asking your instructor about this discrepancy before the exam.

No community discussion yet for this question.