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Friedman, J.H.; Tukey, J.W.; Tukey, P.A.
Stanford Linear Accelerator Center, CA (USA); Princeton Univ., NJ (USA); Bell Labs., Murray Hill, NJ (USA)1979
Stanford Linear Accelerator Center, CA (USA); Princeton Univ., NJ (USA); Bell Labs., Murray Hill, NJ (USA)1979
AbstractAbstract
[en] The need to explore structure in high-dimensional clouds of data points that may concentrate near (possibly nonlinear) manifolds of lower dimension led to the current development of three new approaches. The first is a computer-graphic system (PRIM'79) that facilitates interactive viewing and manipulation of an ensemble of points. The other two are automatic procedures for separating a cloud into more manageable pieces. One of these (BIDEC) performs successive partitioning of the cloud by use of hyperplanes; the other (Cake Maker) explores expanding sequences of neighborhoods. Both procedures provide facilities for examining the resulting pieces and the relationships among them
Source
1979; 8 p; 2. international symposium on data analysis and informatics; Versailles, France; 17 - 19 Oct 1979; CONF-7910136--1; Available from NTIS., PC A02/MF A01
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