Computer-Implemented System and Method For Correcting A Rendering Of Clusters

1 . A computer-implemented system for correcting a rendering of clusters, comprising:

a selection module to select a pair of clusters within a representation;

a determination module to determine a span between centers of the clusters;

an identification module to identify radii for each of the clusters in the pair and summing the radii;

an orientation module to move at least one of the clusters in the pair within the representation when the span exceeds the sum; and

a processor to execute the modules.

2 . A system according to claim 1 , wherein each of the clusters is oriented within the representation at a distance from a common origin.

3 . A system according to claim 2 , further comprising:

a representation module to further orient each cluster in the representation at a fixed angle along a common axis drawn through the common origin.

4 . A system according to claim 2 , wherein the orientation module increases the distance of the at least one cluster by multiplying the distance of that cluster by a variable coefficient.

5 . A system according to claim 2 , further comprising:

a coefficient module to identify a fixed coefficient;

a distance determination module to determine a further distance for each of the clusters in the pair by multiplying the identified fixed coefficient by the distance of that cluster from the common origin; and

the orientation module to reorient each of the clusters away from the common origin based on the further determined distance.

6 . A system according to claim 2 , wherein the span is proportionately increased relative to the reorientation of the clusters.

7 . A system according to claim 2 , further comprising:

a representation module to increase the distance of the clusters as a similarity of concepts represented by each cluster decreases.

8 . A system according to claim 1 , wherein the clusters each comprise a non-circular shape having a convex volume and the center comprises a center of mass.

9 . A system according to claim 8 , further comprising:

a segment module to determine a segment from the center of mass to a point along the span drawn between the centers of mass for the pair as the radii for each of the non-circular clusters in the pair.

10 . A system according to claim 1 , wherein the radii of each cluster signifies a number of documents attracted to that cluster.

11 . A computer-implemented method for correcting a rendering of clusters, comprising the steps of:

selecting a pair of clusters within a representation;

determining a span between centers of the clusters;

identifying radii for each of the clusters in the pair;

summing the radii; and

moving at least one of the clusters in the pair within the representation when the span exceeds the sum,

wherein the steps are performed on a suitably-programmed computer.

12 . A method according to claim 11 , wherein each of the clusters is oriented within the representation at a distance from a common origin.

13 . A method according to claim 12 , further comprising:

further orienting each cluster in the representation at a fixed angle along a common axis drawn through the common origin.

14 . A method according to claim 12 , further comprising:

increasing the distance of the at least one cluster by multiplying the distance of that cluster by a variable coefficient.

15 . A method according to claim 12 , further comprising:

identifying a fixed coefficient;

determining a further distance for each of the clusters in the pair by multiplying the identified fixed coefficient by the distance of that cluster from the common origin; and

reorienting each of the clusters away from the common origin based on the further determined distance.

16 . A method according to claim 12 , further comprising:

proportionately increasing the span relative to the reorientation of the clusters.

17 . A method according to claim 12 , further comprising:

increasing the distance of the clusters as a similarity of concepts represented by each cluster decreases.

18 . A method according to claim 11 , wherein the clusters each comprise a non-circular shape having a convex volume and the center comprises a center of mass.

19 . A method according to claim 18 , further comprising:

determining a segment from the center of mass to a point along the span drawn between the centers of mass for the pair as the radii for each of the non-circular clusters in the pair.

20 . A method according to claim 11 , wherein the radii of each cluster signifies a number of documents attracted to that cluster.