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Shape complexity in cluster analysis. (arXiv:2205.08046v2 [cs.LG] UPDATED)
May 19, 2022, 1:12 a.m. | Eduardo J. Aguilar, Valmir C. Barbosa
cs.LG updates on arXiv.org arxiv.org
In cluster analysis, a common first step is to scale the data aiming to
better partition them into clusters. Even though many different techniques have
throughout many years been introduced to this end, it is probably fair to say
that the workhorse in this preprocessing phase has been to divide the data by
the standard deviation along each dimension. Like division by the standard
deviation, the great majority of scaling techniques can be said to have roots
in some sort …
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