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If we measure
distances in centimeters instead of inches
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we get different
soft assignments.
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It
would be much better to have a method that is
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invariant
under linear transformations of the data
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space
(scaling, rotating ,elongating)
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Clusters are not
always round.
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It
would be good to allow different shapes for different
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clusters.
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Sometimes its
better to cluster by using low-density
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regions to
define the boundaries between clusters rather
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than using
high-density regions to define the centers of
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clusters.
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