Computer-implemented method for evaluating measurement data from a measurement on a plurality of workpieces (26; 36), wherein • each workpiece (26; 36) has an associated set of measurement data, wherein the set (M) of measurement data corresponds to a plurality of measurement points on the workpieces (26; 36), and the set (M) of measurement data has, for each measurement point on the workpieces (26; 36), - at least one measured coordinate and/or, - for each measured coordinate, a divergence from a comparison coordinate, and • a measure (k) of the correlation of the measured coordinates and/or of the divergences is determined for a plurality of the sets (M) of measurement data, in each case with regard to a pair of measurement points that consists of two measurement points on the workpieces (26; 36), for each of a plurality of pairs of measurement points by way of the plurality of the sets (M) of measurement data, characterized in that measurement points that are part of a pair of measurement points whose measure (k) of the correlation satisfies a prescribed selection condition are associated with one another and a cluster of measurement points is formed, wherein a first measurement point is first of all selected or ascertained for the cluster and then further measurement points are associated with the cluster by checking whether the respective measure (k) of the correlation of the pair of measurement points that consists of the potential further measurement point and the first measurement point satisfies an inclusion condition for including the potential further measurement point in the cluster. • each workpiece (26; 36) has an associated set of measurement data, wherein the set (M) of measurement data corresponds to a plurality of measurement points on the workpieces (26; 36), and the set (M) of measurement data has, for each measurement point on the workpieces (26; 36), - at least one measured coordinate and/or, - for each measured coordinate, a divergence from a comparison coordinate, and - at least one measured coordinate and/or, - for each measured coordinate, a divergence from a comparison coordinate, and • a measure (k) of the correlation of the measured coordinates and/or of the divergences is determined for a plurality of the sets (M) of measurement data, in each case with regard to a pair of measurement points that consists of two measurement points on the workpieces (26; 36), for each of a plurality of pairs of measurement points by way of the plurality of the sets (M) of measurement data, measurement points that are part of a pair of measurement points whose measure (k) of the correlation satisfies a prescribed selection condition are associated with one another and a cluster of measurement points is formed, wherein a first measurement point is first of all selected or ascertained for the cluster and then further measurement points are associated with the cluster by checking whether the respective measure (k) of the correlation of the pair of measurement points that consists of the potential further measurement point and the first measurement point satisfies an inclusion condition for including the potential further measurement point in the cluster. <EOS>