About this document
Similarity and Dissimilarity Measures Explained by Rithvik D is a document available to read on EtoBox.
The document discusses similarity and dissimilarity measures used in clustering techniques, defining them as numerical measures of how alike or different two objects are. It explains various proximity measures for single and multiple attributes, including binary, categorical, ordinal, and interval scales, along with specific formulas for calculating similarity and dissimilarity. Additionally, it highlights the properties of Minkowski metrics used for interval-scaled attributes.
- Author
- Rithvik D
- Language
- EN