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Solomon, a classification program based on a statistical multivariate disjoint model

✍ Scribed by H. Steigstra; A.P. Jansen; G. Kateman

Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
572 KB
Volume
193
Category
Article
ISSN
0003-2670

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✦ Synopsis

An algorithm called SOLOMON is presented for classification of patterns in multidimensional space . This is achieved by constructing a statistical model based on multivariate analysis of the classes under study . The disjoint multivariate analysis is done by using multi-inductive component analysis which has many advantages compared to techniques such as principal components analysis . A weighting algorithm is described for optimum classification results .

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