MinCut
(Graph Utilities Package Symbol) MinCut[g, k] partitions the undirected graph g into k parts where the number of edge cuts is approximately minimized.
Agglomerate[{e_1, e_2, ...}] gives an hierarchical clustering of the elements e_1, e_2, ....Agglomerate[{e_1 -> v_1, e_2 -> v_2, ...}] represents e_i with v_i in each ...
DendrogramPlot[list] constructs a dendrogram from the hierarchical clustering of list.DendrogramPlot[c] constructs a dendrogram from the Cluster object c.
MeanDifferenceTest[list_1, list_2, \[CapitalDelta]\[Mu]_0] performs a test with null hypothesis \[Mu]_1 - \[Mu]_2 = \[CapitalDelta]\[Mu]_0.
Legend
(Plot Legends Package Symbol) Legend[{{box_1, text_1}, ...}, options] generates a legend with the specified boxes and text.Legend[func, num, options] generates a legend by applying func to numbers between ...
PairwiseScatterPlot[m] creates a matrix of scatter plots comparing the data in each column of m against columns of m.
StemLeafPlot[data] creates a stem-and-leaf plot for the real-valued vector data.StemLeafPlot[data_1, data_2] creates a side-by-side stem-and-leaf plot for the vectors data_1 ...
FindClusters and the distance and dissimilarity functions have been added to the built-in Mathematica kernel. SupDistance is replaced by ChessboardDistance. ...
Distributions defined in this package are included in the newly created Multivariate Statistics Package. Random and RandomArray are replaced by RandomInteger. ...
Distributions defined in this package are included in the newly created Multivariate Statistics Package. Random and RandomArray are replaced by RandomReal. CovarianceMatrix ...