Hierarchical clustering schemes

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ID: 116269
1970
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Abstract
Techniques for partitioning objects into optimally homogeneous groups on the basis of empirical measures of similarity among those objects have received increasing attention in several different fields. This paper develops a useful correspondence between any hierarchical system of such clusters, and a particular type of distance measure. The correspondence gives rise to two methods of clustering that are computationally rapid and invariant under monotonic transformations of the data. In an explicitly defined sense, one method forms clusters that are optimally “connected,” while the other forms clusters that are optimally “compact.”
Reference Key
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Authors Stephen C. Johnson;Stephen C. Johnson;
Journal psychometrika
Year 1970
DOI
doi:10.1007/BF02289588
URL
https://dx.doi.org/10.1007/BF02289588
Keywords
assessment psychometrics Humanities law statistical theory and methods testing and evaluation statistics for social sciences

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