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The number of ellipses depends on the structure of points, and it is determined by two parameters controlling both the split and the merge processes.
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Fig. 5 The split & merge process.
The merge process is the same for the two illustrations.
Both parameters are used to decide whether to split (in the split process) or merge (in the merge process).
The role of the merge process is to reduce the complexity of the model.
Usually, a merge process is further applied for solving this problem.
In the merge process, it indicates whether two candidates for merging ellipses would result in an ellipse with high eccentricity.
Then, a merge process takes place to combine the resulting ellipses in order to reduce the complexity of the representation.
We repeat this merge process until there is no adjacent cluster to the smallest seed clusters left in (mathbb {C}).
We repeat this merge process until there is no adjacent cluster to the seed clusters left in (mathbb {C}).
The split and merge process achieves a more balanced distribution of population and employment across zones than the quadtree algorithm.
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