13. The method of claim 1 , wherein data of said one or more data arrays corresponding to said one or more participation matrices is used for calculating similarities between a plurality of pairs of partitions and scoring one or more of the partitions, comprising: calculating a plurality of similarity coefficients according to at least one predetermined similarity measure between one or more pairs of said partitions of the composition, scoring said one or more partitions based on at least one predefined function wherein at least one of variables of said at least one function is from the plurality of similarity coefficients.
13. The method of claim 1 , wherein data of said one or more data arrays corresponding to said one or more participation matrices is used for calculating similarities between a plurality of pairs of partitions and scoring one or more of the partitions, comprising: calculating a plurality of similarity coefficients according to at least one predetermined similarity measure between one or more pairs of said partitions of the composition, scoring said one or more partitions based on at least one predefined function wherein at least one of variables of said at least one function is from the plurality of similarity coefficients. 15. The method of claim 13 , wherein the scores of the one or more partitions are based on centrality values of partitions in a graph corresponding to the composition, comprising: constructing at least one data array corresponding to at least one similarity matrix representing the plurality of similarity coefficients of the partitions; using said similarity matrix to build a graph showing connections between the partitions, wherein the partitions are nodes of the graph and edges of the graph show association of nodes based on the similarity between the connected nodes; scoring the one or more partitions based on centrality values of their corresponding nodes in the graph.