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Issue No.06 - June (1981 vol.3)
pp: 701-708
Gautam Biswas , Department of Computer Science, Michigan State University, East Lansing, MI 48824.
Anil K. Jain , Department of Computer Science, Michigan State University, East Lansing, MI 48824.
Richard C. Dubes , Department of Computer Science, Michigan State University, East Lansing, MI 48824.
ABSTRACT
A number of linear and nonlinear mapping algorithms for the projection of patterns from a high-dimensional space to two dimensions are available. These two-dimensional representations allow quick visual observation of a data set. A combination of two popular mapping algorithms-Sammon's mean-square error technique and the triangulation method-is proposed to overcome the limitations in the individual algorithms. Some factors which describe the goodness of a projection are described, and a comparison is made of six of these algorithms by running them on four data sets. The results obtained support the use of the proposed algorithm.
CITATION
Gautam Biswas, Anil K. Jain, Richard C. Dubes, "Evaluation of Projection Algorithms", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.3, no. 6, pp. 701-708, June 1981, doi:10.1109/TPAMI.1981.4767175
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