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Open AccessJournal ArticleDOI

A General Theory of Classificatory Sorting Strategies 1. Hierarchical Systems

G. N. Lance, +1 more
- 01 Feb 1967 - 
- Vol. 9, Iss: 4, pp 373-380
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TLDR
It is shown that the computational behaviour of a hierarchical sorting-strategy depends on three properties, which are established for five conventional strategies and four measures.
Abstract
It is shown that the computational behaviour of a hierarchical sorting-strategy depends on three properties, which are established for five conventional strategies and four measures. The conventional strategies are shown to be simple variants of a single linear system defined by four parameters. A new strategy is defined, enabling continuous variation of intensity of grouping by variation in a single parameter. An Appendix provides specifications of computer programs embodying the new principles.

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A method for cluster analysis

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Measures of Association for Cross Classifications III: Approximate Sampling Theory

TL;DR: In this paper, the authors derived large sample normal distributions with their associated standard errors for various measures of association and various methods of sampling and explained how the large sample normality may be used to test hypotheses about the measures and about differences between them, and to construct corresponding confidence intervals.