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The points detected using the
semblance measure are grouped into clusters.
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All spatially close clusters
are considered, one at a time. Each cluster of points is given a
confidence measure depending on how locally planar it is.
The highest confidence clusters are then formally merged in a highest
confidence first (HCF) manner.
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This grouping of points into
clusters terminates when a pre-specified threshold level is reached.
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