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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
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