Similarity (Data Science) 편집하기 (부분)

==Advantages of Similarity-Based Methods==
Using similarity metrics provides several advantages in data analysis:
*'''Interpretability''': Many similarity measures, like Euclidean distance or cosine similarity, are easy to interpret and explain.
*'''Versatility''': Similarity metrics can be applied to a wide range of data types, including numerical, categorical, and textual data.
*'''Efficiency in Grouping and Ranking''': Similarity measures are computationally efficient and widely used in algorithms that require fast grouping or ranking, such as recommendation systems.