# Generating test matrices to evaluate the performance of strategies to search typical testors

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“Generating test matrices to evaluate the performance of strategies
to search typical testors”
by Roberto Santana and Eduardo Alba, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2000-130, (Havana, Cuba),
Jan. 2001.

## Abstract

Testors and particularly typical testors, have been used in feature
selection and supervised classification problems. Deterministic algorithms
have usually been used to find typical testors. Recently, a new approach
based on evolutionary algorithms has been developed. A common problem to
test the behavior of both approaches is the necessity of knowing, in
advance, the number of typical testors of a given basic matrix. For an
arbitrary matrix, this number can not be known unless all typical testors
have been found. Therefore, this paper introduces, for the first time, a
strategy to generate basic matrices for which the number of typical
testors is known without to find them. This method is illustrated with
some examples.

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**BibTeX entry:**

@techreport{Santana_and_Alba:2001a,
author = {Roberto Santana and Eduardo Alba},
title = {Generating test matrices to evaluate the performance of
strategies to search typical testors},
institution = {Institute of Cybernetics, Mathematics and Physics},
number = {ICIMAF 2000-130},
address = {Havana, Cuba},
month = jan,
year = {2001},
issn = {0138-8916}
}

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