Machine Learning Intermediate
similarity measure
In clustering algorithms, the metric used to determine how alike (how similar) any two examples are.
Plain English Explanation
In clustering algorithms, the metric used to determine how alike (how similar) any two examples are.
How is it used?
Practitioners refer to similarity measure when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.