Similarity Measure

Similarity measure is a mathematical function that quantifies the similarity between two data objects or patterns. In data science and artificial intelligence, similarity measures are used to compare and evaluate the similarity or dissimilarity between two or more data points. Similarity measures are widely used in clustering, classification, information retrieval, and recommendation systems. The choice of similarity measure depends on the type of data and the application domain. Common similarity measures include Euclidean distance, cosine similarity, Jaccard similarity, and Pearson correlation coefficient.
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