Method for efficient association of multiple distributions

An association method for analyzing a dataset and grouping its objects in homogeneous groups. Multiple grouping algorithms of the art are performed against the dataset, each producing its own grouping results. All the distributions (groupings) are ordered in a matrix, where each distribution suggested by a specific algorithm and/or parameters is presented in a column of the matrix, and each object is presented in a row of the matrix. The association method is applied to the grouping results and associates similar groups among different grouping methods. The best grouping of the objects is determined according to one or more quality criteria. The various grouping results are represented by colors in the matrix such that similar colors, even on different rows, represent similar grouping recommendations.