1978
DOI: 10.1016/s0003-2670(01)83106-8
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Evaluation of the super-modified simplex for use in chemical pattern recognition

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Cited by 12 publications
(2 citation statements)
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“…A function optimization approach is used to find the transformation vector, T, that minimizes the entropy of classification H(C\A). Optimization has been used to generate linear discriminants in previous studies which have been reported to be superior in performance to those obtained from the LLM method (18)(19)(20). A modified simplex was used for the classification results reported and is described in detail in ref 20.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…A function optimization approach is used to find the transformation vector, T, that minimizes the entropy of classification H(C\A). Optimization has been used to generate linear discriminants in previous studies which have been reported to be superior in performance to those obtained from the LLM method (18)(19)(20). A modified simplex was used for the classification results reported and is described in detail in ref 20.…”
Section: Introductionmentioning
confidence: 99%
“…Optimization has been used to generate linear discriminants in previous studies which have been reported to be superior in performance to those obtained from the LLM method (18)(19)(20). A modified simplex was used for the classification results reported and is described in detail in ref 20. The simplex differs from the one cited in that it operates on the original u-dimensional data space and the v + 1 component is determined from the algorithm to be given later.…”
Section: Introductionmentioning
confidence: 99%