A computing device-implemented method includes receiving an additive tree; assigning data associated with the additive tree to one or more initial clusters; partitioning the additive tree into one or more pairs of additive sub-trees corresponding to one or more binary segmentations; computing a set that includes partitions resulting from a combination of the one or more initial clusters and the one or more pairs of additive sub-trees; evaluating one or more partitions of the set with one or more cluster validation criteria; storing one or more evaluation results for the one or more partitions; selecting at least one partition from the one or more partitions of the set that satisfies the one or more cluster validation criteria, where the at least one partition is associated with an optimal evaluation resu and removing at least one of the binary segmentations that corresponds to the at least one partition.
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