This is documentation for Mathematica 9, which was
based on an earlier version of the Wolfram Language.
View current documentation (Version 11.2)

Exploratory Data Analysis

Mathematica efficiently implements state-of-the-art data classification algorithms, allowing you to visualize distributions, search for nearest neighbors, and do cluster analysis on large datasets.


Histogram, Histogram3D create histograms from data

BinCounts count the number of elements that lie in bins

BinLists ▪ HistogramList ▪ Tally ▪ Union ▪ Commonest ▪ Quantile

FindClusters find clusters in numerical, discrete, and string data

Nearest find nearest neighbors in any space of data

NearestFunction ▪ DistanceFunction

MeanShift use mean shift for feature space analysis

Distance Measures »

EuclideanDistance ▪ ManhattanDistance ▪ EditDistance ▪ ...

Cases, Count list, count elements matching a pattern

Split split data into runs