Automatic off-line multivariate data analysis

1 January 1966

proceedings article
Published by Association for Computing Machinery (ACM)

p. 685-694
https://doi.org/10.1145/1464291.1464365

Abstract

Many research problems in the social and physical sciences require the collection of large amounts of data of the simultaneously measured attributes of a phenomenon or process under investigation. Pattern recognition problems, in particular, yield data of multiple variables for each manifestation of the different sources of data. The automatic off-line multivariate analysis techniques described in this paper deal with the quantitative description of data of this type.

Keywords

PATTERN RECOGNITION PROBLEM
RESEARCH PROBLEM
PAPER DEAL
QUANTITATIVE DESCRIPTION
MULTIPLE VARIABLE
DIFFERENT SOURCE
PHYSICAL SCIENCE
LARGE AMOUNT
AUTOMATIC OFF-LINE MULTIVARIATE ANALYSIS
AUTOMATIC OFF-LINE MULTIVARIATE DATA
MULTIVARIATE DATA ANALYSIS
PATTERN RECOGNITION
MULTIVARIATE ANALYSIS

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