The Distance Matrix process computes various measures of distance or dissimilarity between the observations (rows) of a JMP table. These proximity measures are stored as a square matrix in an output data set, which can then be used as input for downstream processes.
The input data set can contain numeric or character variables or both, depending on which proximity measure is used. The number of rows and columns in the output matrix equals the number of observations in the input data set, or if there are By Groups, an output matrix is computed for each BY group with the size determined by the maximum number of observations in any BY group.