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Data Similarity and Dissimilarity Measures by Pallavi Bharti is a document available to read on EtoBox.

Similarity and dissimilarity are numerical measures of how alike or different two data objects are. Similarity is higher when objects are more alike and falls between 0 and 1, while dissimilarity is lower when objects are more alike. There are different ways to measure similarity and dissimilarity between single attributes and between multiple attributes of objects, such as Euclidean distance, Minkowski distance, and cosine similarity. Common properties of distances and similarities include positivity, symm

Author

Pallavi Bharti

Language

EN