DamerauLevenshteinDistance[u, v] gives the Damerau\[Dash]Levenshtein distance between strings or vectors u and v.
DistributionParameterAssumptions[dist] gives a logical expression for assumptions on parameters in the symbolic distribution dist.
Exponent[expr, form] gives the maximum power with which form appears in the expanded form of expr. Exponent[expr, form, h] applies h to the set of exponents with which form ...
GaussianFilter[image, r] filters image by convolving with a Gaussian kernel of pixel radius r.GaussianFilter[image, r, {n_1, n_2}] convolves image with a kernel formed from ...
ImageLines[image] finds line segments in image and returns the coordinates of their endpoints.ImageLines[image, t] uses the threshold t for selecting image ...
InterquartileRange[list] gives the difference between the upper and lower quartiles for the elements in list.InterquartileRange[dist] gives the difference between the upper ...
JaccardDissimilarity[u, v] gives the Jaccard dissimilarity between Boolean vectors u and v.
MachinePrecision is a symbol used to indicate machine-number precision.
ManhattanDistance[u, v] gives the Manhattan or "city block" distance between vectors u and v.
MinimalStateSpaceModel[ss] gives the minimal state-space model of the StateSpaceModel object ss.