rowrelatedness
Rowrelatedness is a concept used in data analysis and database management to describe the degree of similarity or connection between individual data rows. It is not a universally standardized term, and its specific definition can vary depending on the context and the algorithms employed. Generally, rowrelatedness aims to quantify how alike or related two or more rows are based on the values within their columns.
The calculation of rowrelatedness often involves comparing the attribute values of different rows. This comparison can
Applications of rowrelatedness include identifying duplicate or near-duplicate records, clustering similar data points, recommending related items,