Wolfram Language & System 10.3 (2015)|Legacy Documentation

This is documentation for an earlier version of the Wolfram Language.View current documentation (Version 11.2)

Exploratory Data Analysis

The Wolfram Language efficiently implements state-of-the-art data analysis algorithms, allowing you to visualize distributions, search for nearest neighbors, search for peaks, and do cluster analysis.


Histogram, Histogram3D create histograms from data

BinCounts count the number of elements that lie in bins

BinLists  ▪  HistogramList  ▪  Counts  ▪  Union  ▪  Commonest  ▪  Quantile

FindClusters find clusters in numerical, discrete, and string data

Nearest find nearest neighbors in any space of data

NearestFunction  ▪  DistanceFunction

NearestNeighborGraph graph based on nearest-neighbor relationships

MeanShift use mean shift for feature space analysis

Distance Measures »

EuclideanDistance  ▪  ManhattanDistance  ▪  EditDistance  ▪  ...

DistanceMatrix matrix of pairwise distances

FindPeaks find peaks in data

Cases, Count list, count elements matching a pattern

Split split data into runs