On Fri, 14 Apr 2000, Carl Frelicot wrote:
> I face the problem of clustering one-dimensional data that can range in a
> circular way. Does anybody knows the best way to solve this problem with no
> aid of an additional variable ? Using a well-suitable trigonometric
> transform ? Using an ad-hoc metric ?
> Thanks.
If you mean that data are constrained to lie on a circle of fixed radius,
you could consider substituting the distance of each point from the next
one (in one direction or the other). This would provide global
information (sorry -- pun unintentional) about the existence of
clustering. Plotting this against, say, angular dispacement would give
information about the location(s) of cluster(s).
-- DFB.
------------------------------------------------------------------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedford, NH 03110 603-471-7128
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