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Hierarchical Agglomerative Clustering (HAC) is one of the oldest but still most widely used clustering methods.
Stochastic Processes
J.L. Doob · 1953
Earlier work this paper cites.
A statistical method for evaluating systematic relationship
Robert R Sokal · 1958
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Multivariate methods in plant ecology: V. similarity analyses and information-analysis
WT Williams and JM t Lambert · 1966
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A general theory of classificatory sorting strategies: 1. hierarchical systems
Godfrey N Lance and William Thomas Williams · 1967
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Slink: an optimally efficient algorithm for the single-link cluster method
Robin Sibson · 1973
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An efficient algorithm for a complete link method
Daniel Defays · 1977
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La classification hiérarchique ascendante selon la méthode des voisins réciproques
C De Rham · 1980
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A survey of recent advances in hierarchical clustering algorithms
Fionn Murtagh · 1983
Cited alongside, same era.
Complexities of hierarchic clustering algorithms: state of the art
Fionn Murtagh · 1984
Cited alongside, same era.
On the degree of ultrametricity
R Rammal, JC Angles d’Auriac, and Benoˆıt Douçot · 1985
Cited alongside, same era.
Efficiency of hierarchic agglomerative clustering using the icl distributed array processor
Edie M Rasmussen and Peter Willett · 1989
Cited alongside, same era.
Newsweeder: Learning to filter netnews
Ken Lang · 1995
Cited alongside, same era.
Exploiting parallelism to support scalable hierarchical clustering
Rebecca J Cathey, Eric C Jensen, Steven M Beitzel, Ophir Frieder, and David Grossman · 2007
Cited alongside, same era.
Learning from multiple partially observed views-an application to multilingual text categorization
Massih Amini, Nicolas Usunier, and Cyril Goutte · 2009
Later among the works it cites.
Searching in one billion vectors: re-rank with source coding
Hervé Jégou, Romain Tavenard, Matthijs Douze, and Laurent Amsaleg · 2011
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Local algorithms for interactive clustering
Pranjal Awasthi, Maria Balcan, and Konstantin Voevodski · 2014
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Multi-threaded hierarchical clustering by parallel nearest-neighbor chaining
Yongkweon Jeon and Sungroh Yoon · 2015
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Affinity clustering: Hierarchical clustering at scale
MohammadHossein Bateni, Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Raimondas Kiveris, Silvio Lattanzi, and Vahab Mirrokni · 2017
Later among the works it cites.
Approximation bounds for hierarchical clustering: Average linkage, bisecting k-means, and local search
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Benjamin Moseley and Joshua Wang · 2017
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