Triple

Target class: outlier detection method
Context triple: [Tukey's fences, instanceOf, outlier detection method]

• A. unsupervised learning method chosen
  An unsupervised learning method is a type of machine learning approach that discovers patterns, structures, or groupings in unlabeled data without predefined output targets.
• B. partition-based clustering method
  A partition-based clustering method is an approach that divides a dataset into a predefined number of non-overlapping groups (clusters) by directly assigning each data point to exactly one cluster based on a chosen similarity or distance measure.
• C. statistical inference method
  A statistical inference method is a systematic procedure for drawing conclusions about a population’s properties based on observed sample data, often quantifying uncertainty through probabilities or confidence measures.
• D. statistical methodology
  Statistical methodology is the collection of principles, techniques, and procedures used to design studies, collect data, and analyze and interpret quantitative information to draw valid and reliable conclusions.
• E. detector
  A detector is an entity that senses, identifies, or measures the presence or characteristics of specific signals, objects, or conditions within its environment.
• F. None of above.