Mathematica efficiently implements state-of-the-art data classification algorithms, allowing you to visualize distributions, search for nearest neighbors, and do cluster ...
Different measures of distance or similarity are convenient for different types of analysis. Mathematica provides built-in functions for many standard distance measures, as ...
Building on the concept of symbolic data description, Mathematica 6.0 introduced the major new "elements" framework for handling import and export of data, in nearly a ...
DamerauLevenshteinDistance[u, v] gives the Damerau\[Dash]Levenshtein distance between strings or vectors u and v.
Mathematica has uniquely flexible capabilities for processing large volumes of textual data. Most often data represented as a string is converted to lists or other constructs ...
Mathematica incorporates the latest highly efficient algorithms to allow operations on strings with millions of elements, all making use of Mathematica's unique symbolic ...
DistanceFunction is an option for functions such as Nearest that specifies the distance value to assume between any two specified points.
Mathematica's strengths in algebraic computation and graphics as well as numerics combine to bring unprecedented flexibility and power to geometric computation. Making ...
Mathematica routinely handles huge arrays of numeric, symbolic, textual, or any other data, with any dimension or structure. Arrays are fully integrated into Mathematica's ...
Version 6.0 introduced integrated highly efficient support for a wide range of statistical functions and operations, both on explicit data and on symbolic representations of ...