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.
BinCounts — count the number of elements that lie in bins
FindClusters — find clusters in numerical, discrete, and string data
NearestNeighborGraph — graph based on nearest-neighbor relationships
MeanShift — use mean shift for feature space analysis
DistanceMatrix — matrix of pairwise distances
FindPeaks — find peaks in data
Split — split data into runs