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Exploratory Data Analysis
Mathematica
efficiently implements state-of-the-art data classification algorithms, allowing you to search for nearest neighbors and do cluster analysis on large datasets.
BinCounts
—
count the number of elements that lie in bins
BinLists
▪
Tally
▪
Union
▪
Commonest
▪
Quantile
FindClusters
—
find clusters in numerical, discrete and string data
Nearest
—
find nearest neighbors in any space of data
NearestFunction
▪
DistanceFunction
Distance Measures »
EuclideanDistance
▪
ManhattanDistance
▪
EditDistance
▪
...
Cases
,
Count
—
list, count elements matching a pattern
Split
—
split data into runs
TUTORIALS
Partitioning Data into Clusters
Using Nearest
MORE ABOUT
Statistics
Data Fitting
Hierarchical Clustering Package
Discrete & Integer Data
New in 6.0: Numerical Data Handling
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