Principles of Numerical Taxonomy

Hans J. Eysenck; Sybil B. G. Eysenck

doi:https://doi.org/10.4324/9780203766804-11

Principles of Numerical Taxonomy

2013 · 3,006 citations · 5 from inside this corpus

Hans J. Eysenck low, Sybil B. G. Eysenck low

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

5 of 5 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Data clustering: 50 years beyond K-means→Principles of Numerical TaxonomyLegacy edge — source detail unavailable
Hierarchical Clustering Schemes→Principles of Numerical TaxonomyLegacy edge — source detail unavailable
An Examination of Procedures for Determining the Number of Clusters in a Data Set→Principles of Numerical TaxonomyLegacy edge — source detail unavailable
A General Theory of Classificatory Sorting Strategies: 1. Hierarchical Systems→Principles of Numerical TaxonomyLegacy edge — source detail unavailable
Compositional dissimilarity as a robust measure of ecological distance→Principles of Numerical TaxonomyLegacy edge — source detail unavailable
An Examination of Procedures for Determining the Number of Clusters in a Data Set→Hierarchical Clustering SchemesLegacy edge — source detail unavailable

What cites it, inside the corpus

Paper	Year	Cited
Data clustering: 50 years beyond K-means	2009	9,368
Hierarchical Clustering Schemes	1967	4,940
An Examination of Procedures for Determining the Number of Clusters in a Data Set	1985	3,889
A General Theory of Classificatory Sorting Strategies: 1. Hierarchical Systems	1967	1,693
Compositional dissimilarity as a robust measure of ecological distance	1987	1,460

Links

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Topics

Cognitive Science and Mapping	Computer Science
Artificial Intelligence in Education	Computer Science

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partial

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supports2 author record(s) attached.
weakensNo references are recorded despite 3,006 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

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